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Tesi sul tema "Patient monitoring"
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1
Syed, Muhammad Yasir Jafri. "IP BASED PATIENT MONITORING SYSTEMS." Thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-19797.
Testo completo
2
Jasti, Madhu Narasimha Rao. "IoT based remote patient health monitoring system." Kansas State University, 2017. http://hdl.handle.net/2097/38268.
Testo completoAbstract (sommario):
Master of Science<br>Department of Computer Science<br>Daniel A. Andresen<br>With an improvement in technology and miniaturization of sensors, there have been attempts to utilize the new technology in various areas to improve the quality of human life. One main area of research that has seen an adoption of the technology is the healthcare sector. The people in need of healthcare services find it very expensive this is particularly true in developing countries.
As a result, this project is an attempt to solve a healthcare problem currently society is facing. The main objective of the project was to design a remote healthcare system. It’s comprised of three main parts. The first part being, detection of patient’s vitals using sensors, second for sending data to cloud storage and the last part was providing the detected data for remote viewing. Remote viewing of the data enables a doctor or guardian to monitor a patient’s health progress away from hospital premises.
The Internet of Things (IoT) concepts have been widely used to interconnect the available medical resources and offer smart, reliable, and effective healthcare service to the patients. Health monitoring for active and assisted living is one of the paradigms that can use the IoT advantages to improve the patient’s lifestyle. In this project, I have presented an IoT architecture customized for healthcare applications. The aim of the project was to come up with a Remote Health Monitoring System that can be made with locally available sensors with a view to making it affordable if it were to be mass produced.
Hence the proposed architecture collects the sensor data through Arduino microcontroller and relays it to the cloud where it is processed and analyzed for remote viewing. Feedback actions based on the analyzed data can be sent back to the doctor or guardian through Email and/or SMS alerts in case of any emergencies.
3
ALMEIDA, VITOR PINHEIRO DE. "PATIENT-BUDDY-BUILD: CUSTOMIZED MOBILE MONITORING FOR PATIENTS WITH CHRONIC DISEASES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28691@1.
Testo completoAbstract (sommario):
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Este trabalho consiste do desenvolvimento de uma ferramenta para a geração de aplicativos móveis, que possibilita um monitoramento customizado, para o acompanhamento à distância de pacientes com doenças crônicas. A customização ocorre a partir de parâmetros e descrições formais, tais como: preferências do paciente, tipo da doença crônica, processo de acompanhamento desejado pelo seu médico, medicação prescrita e dados sobre o contexto (o entorno) do paciente, estes últimos obtidos de sensores. Com base nestes dados, o sistema irá determinar quais informações são mais relevantes para serem adquiridas do paciente através de questionários ou de sensores disponíveis no dispositivo móvel. Informações relevantes são informações que melhor ajudam a identificar possíveis alterações no processo de monitoramento de um paciente. Estas informações serão enviadas pelo dispositivo móvel, juntamente com os dados dos sensores, para o médico responsável. O processo de acompanhamento médico e a natureza da doença crônica definir ao o conjunto de informações que serão coletadas. É importante ressaltar que o objetivo não é realizar
diagnósticos, mas sim, prover informações atualizadas aos médicos sobre os seu pacientes, possibilitando assim, realizar um acompanhamento preventivo à distância.<br>This thesis consists of the development of a tool for generating mobile applications that enables a customized form of remote monitoring of patients with chronic diseases. The customization is based on parameters and formal descriptions of patient preferences, the type of chronic disease, monitoring procedure required by the doctor, prescribed medication and information about the context (i.e. environment) of the patient, where the later is to be obtained from sensors. Bases on this data, the system will determine which information
are more relevant to be acquired from the patient through questionnaires and sensors embedded or connected to the smart phone. Relevant information are information that best helps to identify possible changes in the monitoring process of a patient. This set of information will be sent by the mobile
application to the responsible physician. The medical treatment and the kind of chronic disease will define the set of information to be collected. It should be stressed that the goal is not to support automatic diagnosis, but only to provide means for physicians to obtain updated information about their patients, so as to allow remote monitoring of patients.
4
Albaba, Adnan. "MODEL-BASED ECG ANALYSIS:TOWARDS PATIENT-SPECIFIC WEARABLE ECG MONITORING : MODEL-BASED ECG ANALYSIS:TOWARDS PATIENT-SPECIFIC WEARABLE ECG MONITORING." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-409069.
Testo completoAbstract (sommario):
In this thesis, model-based analysis approach is considered as a possible solution towards a patient-specific point-of-care device for the purpose of electrocardiogram monitoring. Two novel methods are proposed, tested, and quantitatively evaluated. First, a method for estimating the instantaneous heart rate using the morphologicalfeatures of one electrocardiogram beat at a time is proposed. This work is not aimed at introducing an alternative way for heart rate estimation, but rather illustrates the utility of model-basedelectrocardiogram analysis in online individualized monitoring ofthe heart function. The heart rate estimation problem is reduced to fitting one parameter, whose value is related to the nine parameters of a realistic nonlinear model of the electrocardiogram and estimated from data by nonlinear least-squares optimization. The method feasibility is evaluated on synthetic electrocardiogram signals as well as signals acquired from MIT-BIH databases at Physionet website. Moreover, the performance of the method was tested under realistic free-moving conditions using a wearable electrocardiogram and heart monitor with encouraging results. Second, a model-based method for patient-specific detection of deformed electrocardiogram beats is proposed. Five parameters of a patient-specific nonlinear electrocardiogram model are estimated from data by nonlinear least-squares optimization. The normal variability of the model parameters is captured by estimated probability density functions. A binary classifier, based on stochastic anomaly detection methods, along with a pre-tuned classification threshold, is employed for detecting the abnormal electrocardiogram beats. The utility of the proposed approach is tested by validating it on annotated arrhythmia data recorded underclinical conditions.
5
Brouse, Christopher J. "Algorithms & software for intelligent patient monitoring." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/31437.
Testo completoAbstract (sommario):
In Canada, more deaths occur after a patient experiences an adverse event in a hospital than from breast cancer, motor vehicle accidents and AIDS combined. Current technology contributes to the problem, by adding greater complexity to the clinician's workload. There is still significant promise that computerized assistance can improve patient safety. A clinical monitoring expert system, incorporating algorithms and expert knowledge, could automatically diagnose problems and provide advice on how best to avoid hazard. This thesis investigates the design and performance of algorithms and software for an intelligent patient monitor, which forms the foundation of a clinical monitoring expert system. An algorithm has been developed for detecting electrocautery noise in the electrocardiogram (ECG) using wavelet analysis. Electrocautery noise can lead an expert system to make incorrect diagnoses. In 15 surgical cases spanning 38.5 hours of ECG data, we achieved a false positive rate of 0.71% and a false negative rate of 0.33%. While existing hardware approaches detect activation of the noise source without any ability to assess its impact on the measured ECG, our software approach detects the presence of noise in the signal itself. Furthermore, the software approach is cheaper and easier to implement in a clinical environment than existing hardware approaches. A software framework, called iAssist, has been developed for intelligent patient monitoring. The framework is extensible, flexible, scalable, and interoperable. It supports plugins to perform data acquisition, signal processing, graphical display, data storage, and output to external devices. iAssist currently incorporates the electrocautery noise detection algorithm as a plugin for artifact rejection, as well as two plugins to detect change point events in physiological trends. In 38 surgical cases, iAssist detected 868 events, of which clinicians rated more than 50% as clinically significant and less than 7% as artifacts. Clinicians found iAssist intuitive and easy to use.<br>Applied Science, Faculty of<br>Electrical and Computer Engineering, Department of<br>Graduate
6
Best, Nicola Grace. "Dynamic models for post-transplant patient monitoring." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321024.
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Otine, Charles. "HIV Patient Monitoring Framework Through Knowledge Engineering." Doctoral thesis, Blekinge Tekniska Högskola [bth.se], School of Planning and Media Design, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00540.
Testo completoAbstract (sommario):
Uganda has registered more than a million deaths since the HIV virus was first offi¬cially reported in the country over 3 decades ago. The governments in partnership with different groups have implemented different programmes to address the epidemic. The support from different donors and reduction in prices of treatment resulted in the focus on antiretroviral therapy access to those affected. Presently only a quarter of the approximately 1 million infected by HIV in Uganda are undergoing antiretroviral therapy. The number of patients pause a challenge in monitoring of therapy given the overall resource needs for health care in the country. Furthermore the numbers on antiretroviral therapy are set to increase in addition to the stringent requirements in tracking and monitoring of each individual patient during therapy. This research aimed at developing a framework for adopting knowledge engineering in information systems for monitoring HIV/AIDS patients. An open source approach was adopted due to the resource constrained context of the study to ensure a cost effec¬tive and sustainable solution. The research was motivated by the inconclusive literature on open source dimensional models for data warehouses and data mining for monitor¬ing antiretroviral therapy. The first phase of the research involved a situational analysis of HIV in health care and different health care information systems in the country. An analysis of the strengths, weaknesses and opportunities of the health care system to adopt knowledge bases was done. It proposed a dimensional model for implementing a data warehouse focused on monitoring HIV patients. The second phase involved the development of a knowledge base inform of an open source data warehouse, its simulation and testing. The study involved interdisciplinary collaboration between different stakeholders in the research domain and adopted a participatory action research methodology. This involved identification of the most appropriate technologies to foster this collabora¬tion. Analysis was done of how stakeholders can take ownership of basic HIV health information system architecture as their expertise grow in managing the systems and make changes to reflect even better results out of system functionality. Data mining simulations was done on the data warehouse out of which two machine learning algorithms (regression and classification) were developed and tested using data from the data warehouse. The algorithms were used to predict patient viral load from CD4 count test figures and to classify cases of treatment failure with 83% accu¬racy. The research additionally presents an open source dimensional model for moni¬toring antiretroviral therapy and the status of information systems in health care. An architecture showing the integration of different knowledge engineering components in the study including the data warehouse, the data mining platform and user interac-tion is presented.
8
Stanford, Maura Marisela. "Reducing Patient Falls and Decreasing Patient Safety Attendant Utilization With CareView Communication Technology." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7081.
Testo completoAbstract (sommario):
Attention to quality outcomes, cost reduction, value-based purchasing, and improved initiatives for hospital-acquired conditions (HACs), as well as labor utilization savings, provide a foundation for hospitals to achieve safety and quality outcomes. Falls resulting in fractures, joint dislocation, or other physical injuries are considered HACs and can produce unexpected consequences such as an increase in costs related to an increased length of stay. The CareView Communications system, a fall prevention management program that uses video surveillance technology, offers a strategy to prevent patient falls by customizing patient rounding, conducting fall risk assessments, and generating reports. Guided by Donabedian's framework, this project evaluated the effectiveness of implementation of CareView video monitoring to decrease falls, avoid falls with injury, and reduce use of the patient safety technician on the hospital's telemetry and neurological unit. One year of preimplementation fall data were compared to 1 year of postimplementation data to measure the video monitoring (VM) system effectiveness in fall reduction. Although there was a reduction in the number of falls on the neurological (4.08 to 3.24/1,000 patient days) and the telemetry (2.92 to 1.96.1,000 patient days) units, the results were not statistically significant. The results of this project could contribute to positive social change by helping to determine the effectiveness of the CareView system in reducing falls and identifying strategies for implementing the use of the VM system to reduce patient falls and enhance patient safety.
9
Liu, Y. "Wireless remote patient monitoring on general hospital wards." Thesis, Bournemouth University, 2010. http://eprints.bournemouth.ac.uk/17508/.
Testo completoAbstract (sommario):
A novel approach which has potential to improve quality of patient care on general hospital wards is proposed. Patient care is a labour-intensive task that requires high input of human resources. A Remote Patient Monitoring (RPM) system is proposed which can go some way towards improving patient monitoring on general hospital wards. In this system vital signs are gathered from patients and sent to a control unit for centralized monitoring. The RPM system can complement the role of nurses in monitoring patients’ vital signs. They will be able to focus on holistic needs of patients thereby providing better personal care. Wireless network technologies, ZigBee and Wi-Fi, are utilized for transmission of vital signs in the proposed RPM system. They provide flexibility and mobility to patients. A prototype system for RPM is designed and simulated. The results illustrated the capability, suitability and limitation of the chosen technology.
10
Watman, Geoffrey P. "Pharmacist monitoring of patient health in the community." Thesis, Aston University, 1996. http://publications.aston.ac.uk/10935/.
Testo completoAbstract (sommario):
This research has explored the potential role of the community pharmacist in health promotion in the pharmacy, and at general medical practices. The feasibility of monitoring patients' health status in the community was evaluated by intervention to assess and alter cardiovascular risk factors. 68, hypertensive patients, monitored at one surgery, had a change in mean systolic blood pressure from 158.28 to 146.55 mmHg, a reduction of 7.4%, and a change in mean diastolic bood pressure from 90.91 to 84.85 mmHg, a reduction of 6.7%. 120 patients, from a cohort of 449 at the major practice, with an initial serum total cholesterol of 6.0+mmol/L, experienced a change in mean value from 6.79 to 6.05 mmol/L, equivalent to a reduction of 10.9%. 86% of this patient cohort showed a decrease in cholesterol concentration. Patients, placed in a high risk category according to their coronary rank score, assessed at the first health screening, showed a consistent and significant improvement in coronary score throughout the study period of two years. High risk and intermediate risk patients showed improvements in coronary score of 52% and 14% respectively. Patients in the low risk group maintained their good coronary score. In some cases, a patient's improvement was effected in liaison with the GP, after a change or addition of medication and/or dosage. Pharmacist intervention consisted of advice on diet and lifestyle and adherence to medication regimes. It was concluded that a pharmacist can facilitate a health screening programme in the primary care setting, and provide enhanced continuity of care for the patient.
11
Allami, Ragheed. "Cardiovascular data analytics for real time patient monitoring." Thesis, Federation University Australia, 2017. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/164471.
Testo completoAbstract (sommario):
Improvements in wearable sensor devices make it possible to constantly monitor physiological parameters such as electrocardiograph (ECG) signals for long periods. Remote patient monitoring with wearable sensors has an important role to play in health care, particularly given the prevalence of chronic conditions such as cardiovascular disease (CVD)—one of the prominent causes of morbidity and mortality worldwide. Approximately 4.2 million Australians suffer from long-term CVD with approximately one death every 12 minutes. The assessment of ECG features, especially heart rate variability (HRV), represents a non-invasive technique which provides an indication of the autonomic nervous system (ANS) function. Conditions such as sudden cardiac death, hypertension, heart failure, myocardial infarction, ischaemia, and coronary heart disease can be detected from HRV analysis. In addition, the analysis of ECG features can also be used to diagnose many types of life-threatening arrhythmias, including ventricular fibrillation and ventricular tachycardia. Non-cardiac conditions, such as diabetes, obesity, metabolic syndrome, insulin resistance, irritable bowel syndrome, dyspepsia, anorexia nervosa, anxiety, and major depressive disorder have also been shown to be associated with HRV. The analysis of ECG features from real time ECG signals generated from wearable sensors provides distinctive challenges. The sensors that receive and process the signals have limited power, storage and processing capacity. Consequently, algorithms that process ECG signals need to be lightweight, use minimal storage resources and accurately detect abnormalities so that alarms can be raised. The existing literature details only a few algorithms which operate within the constraints of wearable sensor networks. This research presents four novel techniques that enable ECG signals to be processed within the limitations of resource constraints on devices to detect some key abnormalities in heart function. - The first technique is a novel real-time ECG data reduction algorithm, which detects and transmits only those key points that are critical for the generation of ECG features for diagnoses. - The second technique accurately predicts the five-minute HRV measure using only three minutes of data with an algorithm that executes in real-time using minimal computational resources. - The third technique introduces a real-time ECG feature recognition system that can be applied to diagnose life threatening conditions such as premature ventricular contractions (PVCs). - The fourth technique advances a classification algorithm to enhance the performance of automated ECG classification to determine arrhythmic heart beats based on noisy ECG signals. The four novel techniques are evaluated in comparison with benchmark algorithms for each task on the standard MIT-BIH Arrhythmia Database and with data generated from patients in a major hospital using Shimmer3 wearable ECG sensors. The four techniques are integrated to demonstrate that remote patient monitoring of ECG using HRV and ECG features is feasible in real time using minimal computational resources. The evaluation show that the ECG reduction algorithm is significantly better than existing algorithms that can be applied within sensor nodes, such as time-domain methods, transformation methods and compressed sensing methods. Furthermore, the proposed ECG reduction is found to be computationally less complex for resource constrained sensors and achieves higher compression ratios than existing algorithms. The prediction of a common HRV measure, the five-minute standard deviation of inter-beat variations (SDNN) and the accurate detection of PVC beats was achieved using a Count Data Model, combined with a Poisson-generated function from three-minute ECG recordings. This was achieved with minimal computational resources and was well suited to remote patient monitoring with wearable sensors. The PVC beats detection was implemented using the same count data model together with knowledge-based rules derived from clinical knowledge. A real-time cardiac patient monitoring system was implemented using an ECG sensor and smartphone to detect PVC beats within a few seconds using artificial neural networks (ANN), and it was proven to provide highly accurate results. The automated detection and classification were implemented using a new wrapper-based hybrid approach that utilized t-distributed stochastic neighbour embedding (t-SNE) in combination with self-organizing maps (SOM) to improve classification performance. The t-SNE-SOM hybrid resulted in improved sensitivity, specificity and accuracy compared to most common hybrid methods in the presence of noise. It also provided a better, more accurate identification for the presence of many types of arrhythmias from the ECG recordings, leading to a more timely diagnosis and treatment outcome.<br>Doctor of Philosophy
12
Mukhammadov, Ruslan. "A scalable database for a remote patient monitoring system." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-124603.
Testo completoAbstract (sommario):
Today one of the fast growing social services is the ability for doctors to monitor patients in their residences. The proposed highly scalable database system is designed to support a Remote Patient Monitoring system (RPMS). In an RPMS, a wide range of applications are enabled by collecting health related measurement results from a number of medical devices in the patient’s home, parsing and formatting these results, and transmitting them from the patient’s home to specific data stores. Subsequently, another set of applications will communicate with these data stores to provide clinicians with the ability to observe, examine, and analyze these health related measurements in (near) real-time. Because of the rapid expansion in the number of patients utilizing RPMS, it is becoming a challenge to store, manage, and process the very large number of health related measurements that are being collected. The primary reason for this problem is that most RPMSs are built on top of traditional relational databases, which are inefficient when dealing with this very large amount of data (often called “big data”). This thesis project analyzes scalable data management to support RPMSs, introduces a new set of open-source technologies that efficiently store and manage any amount of data which might be used in conjunction with such a scalable RPMS based upon HBase, implements these technologies, and as a proof of concept, compares the prototype data management system with the performance of a traditional relational database (specifically MySQL). This comparison considers both a single node and a multi node cluster. The comparison evaluates several critical parameters, including performance, scalability, and load balancing (in the case of multiple nodes). The amount of data used for testing input/output (read/write) and data statistics performance is 1, 10, 50, 100, and 250 GB. The thesis presents several ways of dealing with large amounts of data and develops & evaluates a highly scalable database that could be used with a RPMS. Several software suites were used to compare both relational and non-relational systems and these results are used to evaluate the performance of the prototype of the proposed RPMS. The results of benchmarking show that MySQL is better than HBase in terms of read performance, while HBase is better in terms of write performance. Which of these types of databases should be used to implement a RPMS is a function of the expected ratio of reads and writes. Learning this ratio should be the subject of a future thesis project.<br>En av de snabbast växande sociala tjänsterna idag är möjligheten för läkare att övervaka patienter i sina bostäder. Det beskrivna, mycket skalbara databassystemet är utformat för att stödja ett sådant Remote Patient Monitoring-system (RPMS). I ett RPMS kan flertalet applikationer användas med hälsorelaterade mätresultat från medicintekniska produkter i patientens hem, för att analysera och formatera resultat, samt överföra dem från patientens hem till specifika datalager. Därefter kommer ytterligare en uppsättning program kommunicera med dessa datalager för att ge kliniker möjlighet att observera, undersöka och analysera dessa hälsorelaterade mått i (nära) realtid. På grund av den snabba expansionen av antalet patienter som använder RPMS, är det en utmaning att hantera och bearbeta den stora mängd hälsorelaterade mätningar som samlas in. Den främsta anledningen till detta problem är att de flesta RPMS är inbyggda i traditionella relationsdatabaser, som är ineffektiva när det handlar om väldigt stora mängder data (ofta kallat "big data"). Detta examensarbete analyserar skalbar datahantering för RPMS, och inför en ny uppsättning av teknologier baserade på öppen källkod som effektivt lagrar och hanterar godtyckligt stora datamängder. Dessa tekniker används i en prototypversion (proof of concept) av ett skalbart RPMS baserat på HBase. Implementationen av det designade systemet jämförs mot ett RPMS baserat på en traditionell relationsdatabas (i detta fall MySQL). Denna jämförelse ges för både en ensam nod och flera noder. Jämförelsen utvärderar flera kritiska parametrar, inklusive prestanda, skalbarhet, och lastbalansering (i fallet med flera noder). Datamängderna som används för att testa läsning/skrivning och statistisk prestanda är 1, 10, 50, 100 respektive 250 GB. Avhandlingen presenterar flera sätt att hantera stora mängder data och utvecklar samt utvärderar en mycket skalbar databas, som är lämplig för användning i RPMS. Flera mjukvaror för att jämföra relationella och icke-relationella system används för att utvärdera prototypen av de föreslagna RPMS och dess resultat. Resultaten av dessa jämförelser visar att MySQL presterar bättre än HBase när det gäller läsprestanda, medan HBase har bättre prestanda vid skrivning. Vilken typ av databas som bör väljas vid en RMPS-implementation beror därför på den förväntade kvoten mellan läsningar och skrivningar. Detta förhållande är ett lämpligt ämne för ett framtida examensarbete.
13
Nelson, David Lee M. Eng Massachusetts Institute of Technology. "Drift compensated inertial position sensor for healthcare patient monitoring." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/36768.
Testo completoAbstract (sommario):
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.<br>Includes bibliographical references (p. 71-72).<br>In order to provide more effective health care, especially to the elderly, we must enable the physician to monitor the patient outside of the clinic or hospital. A patient's activities are a critical indicator of his or her well-being, and the physician must have an un-intrusive and inexpensive means of monitoring patient activity. The objective of this project was to design and construct a low-cost, low-power, six degree-of-freedom inertial activity monitor that can be used with a portable computer. In this thesis, I describe the design and implementation of a such a monitor that can communicate using several popular peripheral bus protocols. I describe a simple attitude estimation filter and give a qualitative assessment of its performance.<br>by David Lee Nelson.<br>M.Eng.
14
Hoyhtya, Adam K. (Adam Kent). "Intelligent patient monitoring : detecting and defining significant clinical events." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/38824.
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Francis, Rita P. "Physician's acceptance of data from patient self-monitoring devices." Thesis, Capella University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10142170.
Testo completoAbstract (sommario):
<p> Due to the wide-scale adoption by the market and consumers of healthcare goods that track fitness, sleep, nutrition, and basic metabolic parameters through ubiquitous devices or mobile apps, it is vital to understand physicians’ attitudes towards consumer healthcare devices. No study had previously examined constructs related to technology acceptance and how they impacted behavioral intention for ubiquitous devices that produce SMD. A quantitative, non-experimental study was conducted to examine SMD acceptance, intent to use, and other factors important to physicians regarding SMD from ubiquitous devices. The researcher randomized the American Medical Association (AMA) membership list and sent out 5,000 invitations to physicians for participation. The final sample included 259 subjects, which consisted of 75.2% (N=194) male and 24.8% (N=64) female participants. The results from statistical analysis of the data gathered through survey methodology showed that the UTAUT2 constructs of performance expectancy, hedonic motivation, and price value were positively associated with the behavioral intention of SMD by physicians, while effort expectancy and social influence were not. Further, social influence was associated with use, while performance expectancy, effort expectancy, and hedonistic motivation were not. Major positive implications of the findings include contribution to the body of literature in the IT-healthcare arena regarding factors the influence technology acceptance and potential increase in the adoption of SMD among patients. Limitations of the study and recommendations for future research are discussed.</p>
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Hann, Alistair. "Multi-parameter monitoring for early warning of patient deterioration." Thesis, University of Oxford, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.670068.
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Vinod, Kalkotwar Divya. "Wireless Body Area Network for Patient Monitoring in Hospitals." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-206121.
Testo completoAbstract (sommario):
The master thesis is a prototyping project of a wireless body area network (WBANs) for patient monitoring in hospitals. The goal of this project was to study various technologies suitable for wireless body area networks, complete a requirement analysis, design a WBAN suitable to achieve the requirements and to test and evaluate the system against the requirements. Seven sensor end nodes are chosen to monitor seven vital signs for patient monitoring. After studying different technologies suitable for WBANs, IEEE 802.15.4j was chosen because it communicates in a special allocation of medical spectrum of 2360 to 2400MHz. A coordinator or master will be the center of the network using a star topology. Due to certain limitations in the firmware of the NXP FRDMKW40Z, IEEE 802.15.4j had to be dropped and IEEE 802.15.4 was the final chosen technology because the only difference between IEEE 802.15.4j and IEEE802.15.4 is the difference in the physical layer, while the developed application remains the same, making the shift back to IEEE802.15.4j, in the future, simple. There have been several projects working on the same idea with IEEE 802.15.4, but they do not combine multiple sensors to form a network and the total throughput requirements for this thesis project are much higher. The beacon mode and the non-beacon mode of IEEE 802.15.4 are studied. Non beacon mode is unpredictable due to the use of carrier sense multiple access with collision avoidance (CSMA/CA) to access the medium. When multiple end nodes compete to get access to the medium, unreliability is introduced into the system. In the beacon mode, because of the slotted CSMA access of sixteen equally spaced time slots for communication, there is a restriction of the size of a time slot and thus, the high throughput requirement of the system is not met. The solution proposed in the thesis project is to develop a custom time slot system in the non-beacon mode, where each end node is granted a reserved time slot of a specific length as required by the end node. There is a timer mechanism which makes sure that the time slots for each device maintain the time limit on the time slot, on the side of the main master/coordinator of the network and on the side of the end node. The protocol for an end node to join a personal area network (PAN) is called as the association process. The association process enables the end node to be a part of a PAN to exchange its sensor data. Traditionally, in IEEE 802.15.4, the end nodes scan the sixteen IEEE 802.15.4 channels and when an appropriate coordinator is found, the end node initiates the association process with the coordinator. The solution proposed for the formation of the network by the association process is to use two different technologies. The end nodes and the coordinator exchange information using near field communication (NFC) technology by a simple tapping mechanism. The end node has an active NFC tag while the coordinator has an NFC reader. During the tap between the two devices, first the coordinator reads the end node data from the active tag. This data is required to form the custom time slot. Next the coordinator writes all association information into the active tag. After the NFC data exchange is done, the end node initiates the traditional IEEE 802.15.4 association protocol to join the coordinator’s PAN. Similarly after seven end nodes are associated to the coordinator, the network begins to function. All the end nodes communicate their data to the coordinator. The coordinator collects all the sensor data from the seven end nodes and may send the cumulative sensor data to the backend database servers which may be viewed by the medical authorities, this part is not included in the current version of the project. Several tests are run on this system to evaluate the requirements of latency, throughput and quality of service with two different ranges of 20cm and 250cm. The latency of association between the coordinator and end node is 632ms. The required throughput is met by the network. The packet delivery rate of the system is always above 99%. The graphs for packet delivery rates for all the sensors with a range of 20cm and 250 cm are shown in the appendices. The probabilities for the packet delivery rates greater than 90%, 99%, 99.9% and 99.99% are also graphically shown using a normal distribution in the appendices.
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Tang, Xiaoxi. "Novel remote ECG real-time monitoring system /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20TANG.
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Crowe, John A. "Optical methods for monitoring physiological and biochemical variables." Thesis, University of Oxford, 1986. http://ora.ox.ac.uk/objects/uuid:c364decd-6a47-45d3-aa5b-2a5a013067ff.
Testo completoAbstract (sommario):
The use of optical methods for performing non-invasive physiological and biochemical monitoring has been investigated, with particular emphasis on the application of near-infrared spectrophotocetry for following changes in the redox state of cytochrome oxidase. Initial studies of the gross optical properties of in vivo tissue were made using an image intensifier. These demonstrated that some light is transmitted through biological tissues and that such material is very highly scattering. In order to investigate the feasibiity of non-invasively monitoring changes in the redox state of cytochrome oxidase in vivo. spectrophotometric and oxygen measurements were made on solutions containing the pure enzyme and yeast cell suspensions. These demonstrated the high affinity that the enzyme has for oxygen in such preparations, in contrast to the much lower apparent affinities in vivo that have been reported. These results were then modelled mathematically, and a possible-explanation for this anomaly suggested. Potential problems with applying this method are also presented. The interest in cytochrome oxidase is due to its importance in oxidative metabolism. However in performing this role it also assists in the prevention of oxidative damage, whose contribution to various disease states in paediatrics is briefly considered. Two instruments were also constructed, and used, firstly to measure the spectral characteristics of transmitted and reflected light in vivo. ana secondly to study the cardiac synchronous pulsatile component of this light (commonly referred to as the photoplethysmogram).
20
Radhakrishna, Smitha. "Commercialization of contact-free blood pressure monitoring technology." Cleveland, Ohio : Case Western Reserve University, 2010. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1270228233.
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Kallem, Devi Shravanthi. "Design of a patient monitoring system using 3D accelerometer sensors." Manhattan, Kan. : Kansas State University, 2010. http://hdl.handle.net/2097/4132.
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Ullsperger, Markus. "Functional neuroanatomy of performance monitoring : fMRI, ERP, and patient studies /." Leipzig : MPI for Human Cognitive and Brain Sciences, 2007. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=015985758&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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Jamali, Pierre. "Application of the multigraph software architecture to intelligent patient monitoring." Thesis, City University London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307866.
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Book, Lynn Novella. "Surface imaging for patient setup and monitoring for breast radiotherapy." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41311.
Testo completoAbstract (sommario):
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering, 2007.<br>Includes bibliographical references (p. 66-67).<br>Approximately one in eight women will get breast cancer at some point in their lives. A promising new treatment is partial breast irradiation, in which multiple radiation beams cross at the tumor site within the patient. This method of radiotherapy treats only a portion of the breast for a relatively small number of treatments with a high dose per treatment. This method requires much higher accuracy of patient alignment as the tumor site must be correct targeted. This study examined the possibility of using the VisionRT (London, UK) software and cameras for surface visualization to align patients for this treatment. A portable, single pod, the "Mini Cam" was found to be able to generate images for translations less than 2.5-5.5 cm, depending on the direction of translation. Calibration was a key aspect to ensuring accurate results. Eight patients were studied for deformation, breathing motion and day to day alignment. Surface images were taken at several points during regular treatment. Deformation was found to be small and never exceeded and average value of 2 mm. No correlation was found between the amount of deformation and the breast size or planning treatment volume. The average peak-to-peak breathing motion was 0.99-2.16 mm. Variability was discovered in the gating function of the VisionRT software. Aligning patients based on the first treatment session was found to be more accurate than aligning to a CT image taken weeks earlier.<br>by Lynn Novella Book.<br>S.M.
25
Coleman, B. "Requirements for a patient self monitoring service for oral anticoagulation." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1352827/.
Testo completoAbstract (sommario):
Self-care is considered a means of meeting the challenge of providing care to patients with long-term conditions. However this has not achieved widespread penetration in the UK, the reasons for which are unclear. This research examined one area of self-care in depth - self-monitoring of oral anticoagulation therapy. The aim was to derive the requirements for an anticoagulation patient self-monitoring service from an analysis of the drivers for, the benefits of, the barriers to, and the challenges of establishing this service from the perspectives of key stakeholders – patients, healthcare professionals and healthcare managers. Qualitative and quantitative techniques - interviews, semi-structured questionnaire survey and focus groups – were used to gain an in-depth understanding of their views. From triangulated results, the candidate requirements for an anticoagulation self-monitoring service were derived, presented in Donabedian’s framework: structure, process and outcome. Most of these requirements were then validated through a pilot self-monitoring service. All stakeholder groups supported anticoagulation self-monitoring. However, financial, clinical and legal barriers were identified. 53% of surveyed patients were willing to undertake self-monitoring. However, only 17% of respondents felt able to purchase a coagulometer, a significant barrier. Lack of confidence in the ability to self-test was also demonstrated. Healthcare staff welcomed self-monitoring as a way to increase capacity and support evolution in the healthcare landscape. There were concerns about affordability to all stakeholders, the potential for increased clinical risk through sharing care with patients, and a fear of litigation compounded by a lack of clarity in the medicolegal position. Patient education and support were essential requirements, to prepare the patient, and on an ongoing basis. Primary care professionals felt expert support was essential for them to deliver this service. A definitive set of service requirements is proposed, and the implications of this research for other long term conditions discussed.
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Rice, Cynthia K. "Design of a patient monitoring system for cardiopulmonary bypass surgery." Thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/50081.
Testo completoAbstract (sommario):
A patient monitoring system for cardiopulmonary bypass surgery has been developed. This
monitoring system uses a SWAN 286-10 computer (fully IBM PC/AT compatible) and a
DT280l-A Input/Output board to monitor seven surgical parameters. This system monitors six
temperatures, the hemoglobin content, the arterial oxygen saturation, the venous oxygen saturation,
the oxygen consumption, and the blood flow rate through the cardiopulmonary bypass circuit.
Additionally, there are three individual timers available. Details and the evaluation of the hardware
and software design of this monitoring system are presented. Also, recommendations for clinical
use are discussed.<br>Master of Science<br>incomplete_metadata
27
Stevens, Timothy. "Rehab Tracker: Framework for Monitoring and Enhancing NMES Patient Compliance." ScholarWorks @ UVM, 2019. https://scholarworks.uvm.edu/graddis/1001.
Testo completoAbstract (sommario):
We describe the development of a cyber-physical system (Rehab Tracker) for improving patient compliance with at-home physical rehabilitation using neuromuscular electrical stimulation (NMES) therapy. Rehab Tracker consists of three components: 1) hardware modifications to sense and store use data from an FDA-approved NMES therapy device and provide Bluetooth communication capability, 2) an iOS-based smartphone/tablet application to receive and transmit NMES use data and serve as a conduit for patient-provider interactions and 3) a back-end server platform to receive device use data, display compliance data for provider review and provide automated positive and remedial push notifications to patients to improve compliance. This system allows for near real-time compliance monitoring via a secure web portal and offers a novel conduit for patient-provider communication during at-home rehabilitation to improve compliance. The system was tested in patients (n=5) who suffered anterior cruciate ligament rupture and surgical repair to provide proof-of-principal evidence for system functionality and an initial assessment of system usability. The system functioned as designed, recording 89% of rehabilitation sessions. Thus, Rehab Tracker is a functionally correct system with the potential to be used as a tool for studying NMES and mobile communication methodologies at scale and improving compliance with at-home rehabilitation programs.
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POSOCCO, BIANCA. "Innovative phase I clinical trials based on patient genotype monitoring." Doctoral thesis, Università degli Studi di Trieste, 2016. http://hdl.handle.net/11368/2908016.
Testo completoAbstract (sommario):
Recent important advances in the field of pharmacogenetics deserve the inclusion of patient genetic profiling in the optimization of antineoplastic chemotherapy and in clinical drug development. The aim of this study has been to define the clinical utility of innovative strategies for phase Ib studies by translating the new emerging discoveries in the pharmacogenetics field into a chemotherapeutic drug management currently used in cancer therapy, trying to obtain the best therapeutic effect both in terms of toxicity and efficacy.
For this reason, three phase Ib clinical studies have been designed and conducted at the National Cancer Institute of Aviano (PN): 1)“A genotype-guided phase I study of irinotecan administered in combination with 5-fluorouracil/leucovorin (FOLFIRI) and bevacizumab in advanced colorectal cancer patients”, 2)“A genotype-guided phase I study of irinotecan administered in combination with 5-fluorouracil/leucoverin (FOLFIRI) and cetuximab as first-line therapy in metastatic colorectal cancer patients”, and 3)“A genotype-guided phase I study for weekly paclitaxel in ovarian cancer patients”.
In order to obtain the pharmacokinetic data of both irinotecan and paclitaxel, along with their main metabolites, two HPLC-MS/MS methods have been set up. To guarantee the reliability and robustness of the developed methods, they have been validated in accordance with the Food Drug and Administration (FDA) and the European Medicines Agency (EMA) guidance on bio-analytical method validation. The methods were validated by examining the following parameters: recovery, linearity, intra- and inter-day precision and accuracy, reproducibility, limit of detection (LOD), LLOQ, selectivity, matrix effect and stability. The obtained results were very good both for irinotecan and paclitaxel (the former has been already published (Marangon et al., 2015)).
The first phase I study (1) has been concluded and demonstrated that in first-line therapy of metastatic colorectal cancer patients with FOLFIRI plus bevacizumab, irinotecan doses higher than the standard dose can be safely administered based on UGT1A1 genotype. Statistical analysis, made to understand the effect of bevacizumab on irinotecan pharmacokinetics, has shown that bevacizumab decreased the AUC of SN-38, the active metabolite of irinotecan. These results have represented the rationale for the second phase I on irinotecan in combination therapy (2), which is still on-going.
Although the phase I study concerning paclitaxel (3) is still on-going, preliminary data demonstrate that, also in this case, higher doses than the standard dose can be safely administered based on ABCB1 genotype.
29
Ajmani, Amit. "Spectral analysis of acoustic respiratory signal with a view to developing an apnoea monitor." Title page, contents and summary only, 1993. http://web4.library.adelaide.edu.au/theses/09ENS/09ensa312.pdf.
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Lieu, Christine 1979. "A database to support development and evaluation of intelligent patient monitoring." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87265.
Testo completoAbstract (sommario):
Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.<br>Includes bibliographical references (leaf 31).<br>by Christine Lieu.<br>M.Eng.and S.B.
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Farahat, Nahla Mohamed Gamal. "Minimal residual disease in acute leukaemia by quantitative flow cytometry." Thesis, Institute of Cancer Research (University Of London), 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244275.
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吳志萍 and Chi-ping Ng. "Cerebral blood flow monitoring of brain injured patients." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31214484.
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Ng, Chi-ping. "Cerebral blood flow monitoring of brain injured patients /." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B18777077.
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Hu, Yong. "Investigation of the reliability of spinal cord monitoring during scoliosis surgery /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B2145162X.
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Tao, Da, and 陶达. "An evaluation of the short-term impacts of a patient-centered computerized self-monitoring system among patients with type 2 diabetes and hypertension." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/209484.
Testo completoAbstract (sommario):
Consumer health information technologies (CHITs) are emerging as promising tools for delivering healthcare services and facilitating patient self-management of chronic diseases; however, the use of the CHITs is largely constrained by usability problems and unclear evidence on the effectiveness of the technologies. The ergonomics research team of The University of Hong Kong developed a patient-centered computerized self-monitoring system that appeared to be useful and easy to use; with the system, this thesis focuses on the examination of the short-term impacts of the technology on patient outcomes for diabetic and hypertensive patients.
The self-monitoring technology was designed using user-centered approaches and relevant human factors principles. Iterative usability evaluations were conducted to assess and improve the usability of the technology with 97 chronically ill patients. Also, using data from a larger randomized controlled trial (RCT) of technology-based disease self-management to improve patients’ outcomes, this thesis compared the short-term effects of the use of a computerized self-monitoring system to usual care using 63 patients with type 2 diabetes and hypertension for four weeks. Thirty-three patients were randomized into intervention group, whose disease care was supported by the self-monitoring system, while 30 patients into control group, who continued with their usual care. A pretest-posttest repeated measures design was employed to determine the effects of the technology on clinical, psychosocial, behavioral, usage, and technology perception outcomes over time. Measurements were obtained at baseline, and after 2 and 4 weeks.
The iterative usability studies improved and verified the usability of the self-monitoring system for chronically ill patients. Results from the RCT showed that after four weeks, there were significant decreases in systolic blood pressure (p < 0.001) and diastolic blood pressure (p < 0.001), self-efficacy for managing chronic disease (p = 0.001), and adherence to treatment (p = 0.001) in the intervention group compared with the control group. Significant differences in favor of intervention group after four weeks were also documented for changes of several quality of life subscales (i.e., general health (p = 0.010), role physical (p = 0.001), role emotional (p = 0.002), bodily pain (p = 0.050), and physical component summary score (p = 0.005)), and perceived ease of use (p = 0.007). No significant difference was found between groups for fasting blood glucose (p = 0.687), perceived usefulness (p = 0.661), frequency of self-monitoring of blood pressure (p = 0.230) and self-monitoring of blood glucose (p = 0.993), and several other quality of life subscales over time.
The usability evaluation presented in this thesis report demonstrated that the method was effective and efficient in identifying potential usability problems at the early stage of system development for CHITs. The findings from the RCT indicated that the use of the human factored-engineered self-monitoring technology had short-term effectiveness in improving blood pressure control, self-efficacy for managing chronic disease, adherence to treatment, and quality of life for patients with type 2 diabetes and hypertension. A human factored-engineered self-management technology appears to be an effective tool in patient self-management of chronic diseases.<br>published_or_final_version<br>Industrial and Manufacturing Systems Engineering<br>Doctoral<br>Doctor of Philosophy
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Daly, Jonathan. "Video camera monitoring to detect changes in haemodynamics." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:e84f2acf-f35c-4257-a4c3-209c5da9cbee.
Testo completoAbstract (sommario):
Patients in hospital can be prone to sudden, life-threatening changes in their cardiovascular state. Haemodynamic parameters such as blood pressure, pulse transit time (PTT) and perfusion can be monitored in clinical situations to identify these changes as early as possible. Continuous blood pressure is usually monitored using a catheter placed into a major artery, but this is invasive and involves risk to the patient. In the last decade, the field of non-contact vital sign monitoring has emerged, with growing evidence that the remote photoplethysmogram (rPPG) signal can be used to estimate vital signs using video cameras. If the analysis of the rPPG signal can be expanded to include the estimation of haemodynamic parameters, it could result in methods for the continuous, non-contact monitoring of a subject's haemodynamic state. In a physiology study, a series of video recordings were made of 43 healthy volunteers. The subjects sat in a purpose-built chamber, and the composition of the air was carefully adjusted to cause the subjects to experience large, controlled changes in blood oxygen levels. To validate the video camera algorithms, reference data were also collected. Along with the volunteer study, a clinical study was performed to acquire data in a challenging clinical environment. Data were collected from patients on haemodialysis in the Renal Unit, a population likely to experience sudden changes in haemodynamics. The reference data from the Renal Unit study were analysed to determine the extent to which PTT and mean arterial pressure (MAP) are related. The correlation coefficients and linear fits were found on a global and a per-subject basis. In addition, the video recordings from the Physiology study were processed to derive rPPG signals, and these signals were analysed to obtain estimates for PTT. Local rPPG signals were also derived for different regions of interest, and the waveforms were analysed using a novel application of the technique of signal averaging to produce spatial maps of perfusion and blood flow. The correlation between conventionally measured PTT and MAP was found to be weaker in the haemodialysis population than has been shown elsewhere in the literature, except for a sub-set of patients. The results of the video analysis showed that PTT could be estimated robustly and consistently, although direct validation of these estimates was not possible because of the different method used to calculate the reference PTT. For most subjects, the spatial mapping methods produced robust maps that were consistent over time. These results suggest that it is possible to detect changes in haemodynamics using a video camera, and that this could have applications in healthcare, providing that challenges such as subject movement and clinical validation can be overcome.
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胡勇 and Yong Hu. "Investigation of the reliability of spinal cord monitoring during scoliosis surgery." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31240343.
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Hajdukiewicz, John R. "Development of a structured approach for patient monitoring in the operating room." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0013/MQ34145.pdf.
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Sneha, Sweta. "Patient Monitoring via Mobile Ad Hoc Network: Power Management, Reliability, and Delays." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/cis_diss/19.
Testo completoAbstract (sommario):
ABSTRACT PATIENT MONITORING VIA MOBILE AD HOC NETWORK - MAXIMIZING RELIABILITY WHILE MINIMIZING POWER USAGE AND DELAYS BY SWETA SNEHA May 22nd, 2008 Committee Chair: Dr. Upkar Varshney Major Department: Computer Information Systems Comprehensive monitoring of patients based on wireless and mobile technologies has been proposed for early detection of anomalies, provision of prompt medical attention, and corresponding reduction in healthcare expenses associated with unnecessary hospitalizations and treatment. However the quality and reliability of patient monitoring applications have not been satisfactory, primarily due to their sole dependence on infrastructure-oriented wireless networks such as wide-area cellular networks and wireless LANs with unpredictable and spotty coverage. The current research is exploratory in nature and seeks to investigate the feasibility of leveraging mobile ad hoc network for extending the coverage of infrastructure oriented networks when the coverage from the latter is limited/non-existent. Although exciting, there are several challenges associated with leveraging mobile ad hoc network in the context of patient monitoring. The current research focuses on power management of the low-powered monitoring devices with the goal to maximize reliability and minimize delays. The PRD protocols leveraging variable-rate transmit power and the PM-PRD scheme are designed to achieve the aforementioned objective. The PRD protocols manage power transmitted by the source and intermediate routing devices in end to end signal transmission with the obejective to maximize end to end reliability. The PM-PRD scheme operationalizes an appropriate PRD protocol in end to end signal transmission for diverse patient monitoring scenarios with the objective to maximize reliability, optimize power usage, and minimize delays in end to end signal transmission. Analytical modeling technique is utilized for modeling diverse monitoring scenarios in terms of the independent variables and assessing the performance of the research artifacts in terms of the dependent variables. The evaluation criterion of the research artifacts is maximization of reliability and minimization of power usage and delays for diverse monitoring scenarios. The performance evaluation of the PRD protocols is based on maximization of end to end reliability in signal transmission. The utility of the PM-PRD scheme is associated with operationalizing an appropriate protocol for a given monitoring scenario. Appropriateness of a protocol for a given scenario is based on the performance of the PRD protocols with respect to the dependent variables (i.e., end to end reliability, end to end power usage, and end to end delays). Hence the performance evaluation of the PRD protocols in terms of the dependent variables is utilized to (a) discover the best protocol and (b) validate the accuracy and utility of the PM-PRD scheme in allocating the best protocol for diverse monitoring scenarios. The results validate the effectiveness of the research artifacts in maximizing reliability while minimizing power usage and delays in end to end signal transmission via a multi-hop mobile ad hoc network. Consequently the research establishes the feasibility of multi-hop mobile ad hoc network in supplementing the spotty network coverage of infrastructure oriented networks thereby enhancing the quality and dependability of the process of signal transmission associated with patient monitoring applications.
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Yien, Chris Tak Ming. "Vital signs monitoring for a patient data management system in an ICU." Thesis, McGill University, 1993. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=69721.
Testo completoAbstract (sommario):
This thesis presents the design and implementation of a Vital Signs Monitoring System for a Patient Data Management System in an intensive care unit. The Vital Signs Monitoring System provides graphical display of patient data to assist medical decision making. It performs real-time patient data acquisition, and supports data management. Visual coding of information has been investigated to ensure effective graphical representation of patient data, to reduce screen clutter, and to enhance interpretability of graphical displays. A survey of existing patient monitoring systems, and patient data management systems is presented to give an overview of the recent advancements in these medical systems. Emphasis is placed on the design of the user interface. Important interface design considerations are discussed, and a survey of interactive hardware, interaction tasks, and dialog style is presented.<br>The Vital Signs Monitoring System was developed in C language under the Presentation Manager window environment, and the operating system environment is OS/2 version 2.0.
41
Lin, Di. "Wireless health monitoring: patient arrival models, resource allocation and decision support systems." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=121438.
Testo completoAbstract (sommario):
Overcrowding in the emergency department is a worldwide problem impairing the ability of hospitals to offer emergency care within a reasonable time frame. Not merely a problem of patient satisfaction, the problem of overcrowding is leading to an increased number of waiting room death cases, which refer to the death of patients while staying in a hospital's waiting room due to a lack of sufficient medical care, and this problem underscores the significance of improving healthcare quality. As a potential way of improving healthcare quality, a wireless healthcare monitoring system (HMS) could help healthcare staff monitor the condition of patients by automatically sending alert messages to a doctor device (e.g. a smartphone, a personal digital assistant, or a laptop) once emergent conditions occur.From a network design perspective, a wireless HMS should be capable of supporting the number of patients that will be using the system; being able to assess the network's capability to serve a given number of patients (defined as network patient capacity) is a critical factor in promoting adoption of such systems. This thesis investigates schemes for enhancing the network patient capacity within a HMS. The major objective is to explore the tradeoff between the network patient capacity and the Quality-of-Service (QoS) requirements of each patient, so that a fairly good network capacity is achieved subject to the constraints of QoS requirements within real-world transmission scenarios.In the first part of this thesis, we develop novel methods to estimate the average waiting time of a patient to access the Emergency Department (ED) of a hospital, showing why developing a HMS and allocating its limited wireless resources are important to improve the quality of medical care. The following part of this thesis presents various schemes for resource allocation within a HMS, in view of several factors that need to be taken into account in a real scenario, including different QoS requirements, Electromagnetic Interference (EMI) on medical equipments, as well as imperfect channel state information. We propose three novel techniques for improving the network patient capacity within a HMS, including a statistical multiplexing scheme, a channel prediction based scheme, and a medical decision support based scheme. The last part of this thesis focuses on the performance evaluation of a decision support system, a result that is important to assess the validity and acceptability of the decision support based resource allocation scheme proposed above.<br>La surpopulation dans les urgences est un problème très répandu qui peut incommoder les hôpitaux à promulguer des soins urgents dans des délais raisonnables. Au-delà de la satisfaction du patient, le problème de surpopulation entraine une augmentation du nombre de décès en salle d'attente, référant à la mort de patient durant l'attente d'une prise en charge, laquelle est causée par manque de soins médicaux. Ce problème met en évidence l'importance d'améliorer la qualité des soins médicaux, c'est pourquoi un système de surveillance médicale (SSM) pourrait aider le personnel médical à contrôler l'état des patients, en envoyant automatiquement des messages d'alerte aux appareils des médecins (ex. un téléphone intelligent, un assistant numérique personnel ou un ordinateur portable) dès qu'une condition médicale urgente se déclare. Dans une perspective de conception réseau, un SSM sans fil devrait être capable de supporter le nombre de patients qui utiliseront le système, et le fait de pouvoir évaluer l'aptitude du réseau à traiter un certain nombre de patients (défini comme la capacité en patients du réseau) est un facteur important dans la promotion de tels systèmes. Cette thèse étudie les procédés pour augmenter la capacité en patients du réseau dans un SSM. L'objectif principal est de trouver un compromis entre la capacité en patients du réseau et les exigences de la Qualité de Service (QdS) pour chaque patient, de sorte à avoir une capacité de réseau raisonnable en dépit des contraintes de la QdS dans des scénarios de transmissions réelles. Dans la première partie de cette thèse, nous développons de nouvelles méthodes pour estimer la durée moyenne d'attente d'un patient pour accéder au Département des Urgences (DU) d'un hôpital. Ainsi nous montrons pourquoi le développement d'un SSM et l'allocation de ses ressources sans fil limitées sont importants pour améliorer la qualité des soins médicaux. La suite de cette thèse présente plusieurs plans pour l'allocation de ressources dans un SSM, en considérant plusieurs facteurs qui ont besoin d'être pris en compte dans le cas d'un scénario réel, ce qui comprend les différentes exigences de la QdS, les interférences électromagnétiques (IEM) sur les équipements médicaux, ainsi que l'information imparfaite des états du canal. Nous proposons trois nouvelles techniques pour améliorer la capacité du réseau en patients dans un SSM, ce qui inclut une partie sur le multiplexage statistique, une partie basée sur la prédiction du canal et une partie basée sur la décision médical à l'appui.La dernière partie de cette thèse se concentre autour de l'évaluation des performances pour un système d'aide à la décision, qui est un résultat important pour évaluer la validité et l'acceptabilité de la décision d'aide basée sur le schéma d'allocation des ressources proposé précédemment.
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Bughio, Kulsoom Saima. "IoMT security: A semantic framework for vulnerability detection in remote patient monitoring." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2024. https://ro.ecu.edu.au/theses/2841.
Testo completoAbstract (sommario):
The increasing need to safeguard patient data in Internet of Medical Things (IoMT) devices highlights the critical importance of reducing vulnerabilities within these systems. The widespread adoption of IoMT has transformed healthcare by enabling continuous remote patient monitoring (RPM), which enhances patient outcomes and optimizes healthcare delivery. However, the integration of IoMT devices into healthcare systems presents significant security challenges, particularly in protecting sensitive patient data and ensuring the reliability of medical devices. The diversity of data formats used by various vendors in RPM complicates data aggregation and fusion, thereby hindering overall cybersecurity efforts.
This thesis proposes a novel semantic framework for vulnerability detection in RPM settings within the IoMT system. The framework addresses interoperability, heterogeneity, and integration challenges through meaningful data aggregation. The core of this framework is a domain ontology that captures the semantics of concepts and properties related to the primary security aspects of IoT medical devices. This ontology is supported by a comprehensive ruleset and complex queries over aggregated knowledge. Additionally, the implementation integrates medical device data with the National Vulnerability Database (NVD) via an API, enabling real-time detection of vulnerabilities and improving the security of RPM systems.
By capturing the semantics of medical devices and network components, the proposed semantic model facilitates partial automation in detecting network anomalies and vulnerabilities. A logic-based ruleset enhances the system’s robustness and efficiency, while its reasoning capabilities enable the identification of potential vulnerabilities and anomalies in IoMT systems, thereby improving security measures in remote monitoring settings.
The semantic framework also supports knowledge graph visualization and efficient querying through SPARQL. The knowledge graph provides a structured representation of interconnected data and stores Cyber Threat Intelligence (CTI) to enhance data integration, visualization, and semantic enrichment. The query mechanism enables healthcare providers to extract valuable insights from IoMT data, notifying them about new system vulnerabilities or vulnerable medical devices. This demonstrates the impact of vulnerabilities on cybersecurity requirements (Confidentiality, Integrity, and Availability) and facilitates countermeasures based on severity. Consequently, the framework promotes timely decision-making, enhancing the overall efficiency and effectiveness of IoMT systems. The semantic framework is validated through various use cases and existing frameworks, demonstrating its effectiveness and robustness in vulnerability detection within the domain of IoMT security.
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Hennessy, Carrie Olsen. "Monitoring Psychiatric Patients’ Preparedness for Hospital Discharge." Antioch University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=antioch1521494115246141.
Testo completo
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Bougueng, Tchemeube Renaud. "Location-Aware Business Process Management for Real-time Monitoring of Patient Care Processes." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24336.
Testo completoAbstract (sommario):
Long wait times are a global issue in the healthcare sector, particularly in Canada. Despite numerous research findings on wait time management, the issue persists. This is partly because for a given hospital, the data required to conduct wait times analysis is currently scattered across various information systems. Moreover, such data is usually not accurate (because of possible human errors), imprecise and late. The whole situation contributes to the current state of wait times.
This thesis proposes a location-aware business process management system for real-time care process monitoring. More precisely, the system enables an improved visibility of process execution by gathering, as processes execute, accurate and granular process information including wait time measurements. The major contributions of this thesis include an architecture for the system, a prototype taking advantages of commercial real-time location system combined with a business process management system to accurately measure wait times, as well as a case study based on a real cardiology process from an Ontario hospital.
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Xu, Xiaohua. "Dual Processing Spatially Distributed Integrating Fiber Optic Sensors for Non-intrusive Patient Monitoring." Master's thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/37093.
Testo completoAbstract (sommario):
Given the rapid aging of the worldâ s population, improvements in technology for automation of patient care and documentation are badly needed. This project is based on previous research that demonstrated a â smartâ bed that can non-intrusively monitor a patient in bed and determine a patient's respiration, heart rate and movement without intrusive or restrictive medical measurements. The â smartâ bed is an application of spatially distributed integrating fiber optic sensors. The basic concept is that any patient movement that also moves an optical fiber within a specified area will produce a change in the optical signal. A statistical mode (STM) sensor and a high order mode excitation (HOME) sensor were previously investigated, based on which the author developed the present design including both modal modulation approaches. Development was made in both hardware and software for the combined STM/HOME sensor: a special lens system was installed allowing only the high order modes of the optical fiber to be excited and coupled into the sensor; computer-processing method was used for handling output from the dual STM-HOME sensor, which would offer comprehensive perturbation analysis for more reliable patient monitoring. Experimental results of simulating human body breathing and heartbeats by periodic mechanical perturbations are also presented, and the relative advantage and drawbacks of the two modal modulation approaches are discussed.<br>Master of Science
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Doyle, Marc. "Comprehending the Safety Paradox and Privacy Concerns with Medical Device Remote Patient Monitoring." Diss., NSUWorks, 2019. https://nsuworks.nova.edu/gscis_etd/1090.
Testo completoAbstract (sommario):
Medical literature identifies a number of technology-driven improvements in disease management such as implantable medical devices (IMDs) that are a standard treatment for candidates with specific diseases. Among patients using implantable cardiac defibrillators (ICD), for example, problems and issues are being discovered faster compared to patients without monitoring, improving safety. What is not known is why patients report not feeling safer, creating a safety paradox, and why patients identify privacy concerns in ICD monitoring.
There is a major gap in the literature regarding the factors that contribute to perceived safety and privacy in remote patient monitoring (RPM). To address this gap, the research goal of this study was to provide an interpretive account of the experience of RPM patients. This study investigated two research questions: 1) How did RPM recipients perceive safety concerns?, and 2) How did RPM recipients perceive privacy concerns? To address the research questions, in-depth, semi-structured interviews were conducted with six participants to explore individual perceptions in rich detail using interpretative phenomenological analysis (IPA). Four themes were identified and described based on the analysis of the interviews that include — comfort with perceived risk, control over information, education, and security — emerged from the iterative review and data analysis.
Participants expressed comfort with perceived risk, however being scared and anxious were recurrent subordinate themes. The majority of participants expressed negative feelings as a result of an initial traumatic event related to their devices and lived in fear of being shocked in inopportune moments. Most of these concerns stem from lack of information and inadequate education. Uncertainties concerning treatment tends to be common, due to lack of feedback from ICD RPM status. Those who knew others with ICD RPM became worrisome after hearing about incidences of sudden cardiac death (SCD) when the device either failed or did not work adequately to save their friend’s life.
Participants also expressed cybersecurity concerns that their ICD might be hacked, maladjusted, manipulated with magnets, or turned off. They believed ICD RPM security was in place but inadequate as well as reported feeling a lack of control over information. Participants expressed wanting the right to be left alone and in most cases wanted to limit others’ access to their information, which in turn, created conflict within families and loved ones. Geolocation was a contentious node in this study, with most of participants reporting they did not want to be tracked under any circumstances.
This research was needed because few researchers have explored how people live and interact with these newer and more advanced devices. These findings have implications for practice relating to RPM safety and privacy such as identifying a gap between device companies, practitioners, and participants and provided directions for future research to discover better ways to live with ICD RPM and ICD shock.
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DOMIZI, ROBERTA. "Steps towards “Patient-Tailored therapy” in intensive care: the role of microvascular monitoring." Doctoral thesis, Università Politecnica delle Marche, 2020. http://hdl.handle.net/11566/275119.
Testo completoAbstract (sommario):
Introduzione: La ”Patient-tailored therapy” è un approccio terapeutico al paziente critico che prevede di utilizzare al meglio le evidenze scientifiche della Evidence Based Medicine, caratterizzando però ogni singolo paziente, allo scopo di utilizzare le terapie di seconda linea solo qualora specificatamente indicate.
Metodi: Nel contesto della patient-tailored therapy il monitoraggio bedside del microcircolo sublinguale potrebbe avere un ruolo importante. Questo lavoro riporta una serie di studi clinici atti a contestualizzare il monitoraggio del microcircolo sublinguale nella pratica clinica quotidiana della terapia intensiva, evidenziandone problemi aperti e recenti evoluzioni. Sono quindi descritti i risultati di alcuni studi clinici che valutano la risposta del microcircolo a singoli trattamenti, la relazione con markers e biomarkers.
Risultati: Questo lavoro vuole individuare stato dell’arte, prospettive future e limiti del monitoraggio bedside del microcircolo nel contesto di patient-tailored therapy.
Conclusioni: Una migliore caratterizzazione del paziente critico, che includa il monitoraggio del microcircolo subliguale, potrebbe aprire la strada ad un filone di ricerca scientifica specifico e a risvolti terapeutici estremamente interessanti.<br>This manuscript describes the new concept of "Patient-tailored therapy" and the possible and doable role of microvascular monitoring in critical care patients. The patient-tailored approach combines the EBM (Evidence Base Medicine) provided by international guidelines with a more single-patient-focused attitude. In critical care patients microcirculation can be severely impaired, and if this derangement is not corrected, microcirculatory dysfunction can lead to respiratory distress in tissue cells and to subsequent organ injury. Therefore, bedside microvascular monitoring should be part of the careful characterization of our patients and of the patient-tailored approach in critical care.
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Gargiulo, Gaetano <1977>. "Portable bio-signals devices for brain computer interface and long-term patient monitoring." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amsdottorato.unibo.it/3011/1/Gaetano_Gargiulo_tesi.pdf.
Testo completo
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Gargiulo, Gaetano <1977>. "Portable bio-signals devices for brain computer interface and long-term patient monitoring." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amsdottorato.unibo.it/3011/.
Testo completo
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Kaur, Harsimran. "Digitally Enabled, Wearable Remote Patient Monitoring of Clinical Trials to Assess Patient Reported Outcomes-A Systematic Review : Shifting Paradigm from Site-Centric to Patient Centric Health Care." Thesis, Högskolan i Halmstad, Akademin för hälsa och välfärd, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-45283.
Testo completoAbstract (sommario):
Summary: Although the digital revolution has transformed many niches of human activity, healthcare sector and pharmaceutical drug development has been relatively slow in embracing emerging technologies to optimize health efficacy, especially in Nordic Countries. The topic is of more importance now owing to the present scenario of the corona virus (COVID-19)outbreak, which has caused unparalleled disruption in the conduct of clinical trials and presented challenges as well as opportunities for clinical trialists and data analysts. In this master thesis, the potential opportunity with virtual or digital clinical trials as viable options to enhance drug development efficiency is highlighted that offers diverse patients easier and attractive ways to participate in clinical trials. Special reference is made to wearable devices in clinical trial execution and generating real world data; its acquisition and processing in a virtual trial setting. Issues of patient safety, measurement reliability and validity, and data privacy & integrity are reviewed, and considerations are put forward for mitigation of underlying regulatory andoperational barriers. The aim of this thesis is to assess the recent wearable technologies that generate Real World Data and to understand the potential of this data to transform Nordic healthcare industry. A systematic review of clinical trials involving wearable patient monitoring technique in North America, Nordic Countries and other European countries was conducted. Out of various innovative wearable technologies, Smartwatches are found to be the most common and it is also observed that these wearable technologies have been able to help in early detection and diagnosis of diseases and modify disease progression by real time monitoring of data and develop precision medicine. thus, it is concluded that Wearable Remote Patient Monitoring is a novel technique that has few barriers;but promises a big transformation in Nordic Countries as well as in entire healthcare industry.