Готові списки джерел за темами / Medical Internet of Things

Добірка наукової літератури з теми "Medical Internet of Things"

Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 20 лютого 2023

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Статті в журналах з теми "Medical Internet of Things"

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Guida, Raffaele, Neil Dave, Francesco Restuccia, Emrecan Demirors, and Tommaso Melodia. "The Implantable Internet of Medical Things." GetMobile: Mobile Computing and Communications 24, no. 3 (January 22, 2021): 20–25. http://dx.doi.org/10.1145/3447853.3447861.

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The promise of real-time detection and response to life-crippling diseases brought by the Implantable Internet of Medical Things (IIoMT) has recently spurred substantial advances in implantable technologies. Yet, existing medical devices do not provide at once the miniaturized end-to-end body monitoring, wireless communication and remote powering capabilities to implement IIoMT applications. This paper fills the existing research gap by presenting U-Verse, the first FDA-compliant rechargeable IIoMT platform packing sensing, computation, communication, and recharging circuits into a penny-scale platform. Extensive experimental evaluation indicates that U-Verse (i) can be wirelessly recharged and can store energy several orders of magnitude more than state-of-theart capacity in tens of minutes; (ii) with one single charge, it can operate from few hours to several days. Finally, U-Verse is demonstrated through (i) a closed-loop application that sends data via ultrasounds through real porcine meat; and (ii) a real-time reconfigurable pacemaker.
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2

Cerf, Vinton G. "On the internet of medical things." Communications of the ACM 63, no. 8 (July 22, 2020): 5. http://dx.doi.org/10.1145/3406779.

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3

Taherdoost, Hamed. "Blockchain-Based Internet of Medical Things." Applied Sciences 13, no. 3 (January 18, 2023): 1287. http://dx.doi.org/10.3390/app13031287.

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IoMT sensor nodes, Internet of Things (IoT) wearable medical equipment, healthcare facilities, patients, and insurance firms are all increasingly being included in IoMT systems. Therefore, it is difficult to create a blockchain design for such systems, since scalability is among the most important aspects of blockchain technology. This realization prompted us to comprehensively analyze blockchain-based IoMT solutions developed in English between 2017 and 2022. This review incorporates the theoretical underpinnings of a large body of work published in highly regarded academic journals over the past decade, to standardize evaluation methods and fully capture the rapidly developing blockchain space. This study categorizes blockchain-enabled applications across various industries such as information management, privacy, healthcare, business, and supply chains according to a structured, systematic evaluation, and thematic content analysis of the literature that is already identified. The gaps in the literature on the topic have also been highlighted, with a special focus on the restrictions posed by blockchain technology and the knock-on effects that such restrictions have in other fields. Based on these results, several open research questions and potential avenues for further investigation that are likely to be useful to academics and professionals alike are pinpointed.
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4

Latha, Akurathi Hema. "A Framework for Medical Assistance using Internet of Things Architecture." International journal of Emerging Trends in Science and Technology 03, no. 11 (November 17, 2016): 4742–46. http://dx.doi.org/10.18535/ijetst/v3i11.03.

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Thomasian, Nicole M., and Eli Y. Adashi. "Cybersecurity in the Internet of Medical Things." Health Policy and Technology 10, no. 3 (September 2021): 100549. http://dx.doi.org/10.1016/j.hlpt.2021.100549.

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Melodia, Tommaso, Raffaele Guida, Enrico Santagati, Emrecan Demirors, Daniel Uvaydov, Pedram Johari, and Jorge Jimenez. "Toward an ultrasonic Internet of medical things." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A244. http://dx.doi.org/10.1121/10.0011202.

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Анотація:
Wireless networked systems of “smart” miniaturized and electronically controlled implantable or wearable medical sensors and actuators will be the basis of many innovative and potentially revolutionary therapies and applications. The main obstacle in realizing this vision of smart networked implants is posed by the dielectric nature of the human body, which strongly attenuates radio-frequency electromagnetic waves used in traditional wireless technologies such as Bluetooth or WiFi. This talk will give an overview of our work exploring a radically different approach, i.e., establishing wireless networked systems in human tissues that transfer data and energy through acoustic waves at ultrasonic frequencies. We will start off by discussing applications of networked implantable medical systems.We will then analyze fundamental aspects of ultrasonic propagation in human tissues and their impact on the design of wireless networking protocols at different layers of the networking protocol stack. We will then review our work on designing and prototyping ultrasonically rechargeable and connected Internet-of-Things platforms through a closed-loop combination of mathematical modeling, simulation, and experimental evaluation.
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Adenaiye, Taiwo, Waleed Bul’ajoul, and Funminiyi Olajide. "Security Performance of Internet of Medical Things." Advances in Networks 9, no. 1 (2021): 1. http://dx.doi.org/10.11648/j.net.20210901.11.

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Makarenko, M. V. "FEATURES OF INTRODUCTION OF INTERNET OF THINGS TECHNOLOGIES (INTERNET OF THINGS, IoT; INTERNET OF MEDICAL THINGS, IoMT) IN THE FIELD OF HEALTHCARE." "Scientific Notes of Taurida V.I. Vernadsky University", series "Public Administration", no. 2 (2021): 64–68. http://dx.doi.org/10.32838/tnu-2663-6468/2021.2/011.

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Makarenko, M. V. "FEATURES OF INTRODUCTION OF INTERNET OF THINGS TECHNOLOGIES (INTERNET OF THINGS, IoT; INTERNET OF MEDICAL THINGS, IoMT) IN THE FIELD OF HEALTHCARE." "Scientific Notes of Taurida V.I. Vernadsky University", series "Public Administration", no. 2 (2021): 64–68. http://dx.doi.org/10.32838/tnu-2663-6468/2021.2/11.

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Ingle, Kiran. "Internet of Things Health Care." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 4859–64. http://dx.doi.org/10.22214/ijraset.2022.45082.

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Анотація:
Abstract: This paper is an overview of some of the implications of IoT on the healthcare field. Due to the increasing of IoT solutions, healthcare cannot be outside of this paradigm. The contribution of this paper is to introduce directions to achieve a global connectivity between the Internet of Things (IoT) and the medical environments. The need to integrate all in a global environment is a huge challenge to all (from electrical engineers to data engineers). This revolution is redesigning the way we see healthcare, from the smallest sensor to the big data collected.
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Більше джерел

Дисертації з теми "Medical Internet of Things"

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Poggi, Giovanni. "Internet of Medical Things." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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Анотація:
In questa tesi, si partirà con un'introduzione generale all'Internet of Things focalizzando l'attenzione sulla struttura generale dell'architettura ed il suo funzionamento di base in una rete con molti altri dispositivi. Seguirà l'analisi del trend di questa tecnologia e la sua evoluzione nel tempo, con particolare attenzione all'architettura ed al suo successo ai giorni nostri. Verrà discussa l'industrializzazione che ha portato alla creazione delle Industrie 4.0, ovvero l'Internet of Things in ambito sensoristica applicato all'industria, alla robotica, ai Big Data che si occupano dell'archiviazione, all'acquisizione e all'analisi dei dati provenienti dai vari dispositivi, ai sistemi ciberfisici, alla connessione di tutti questi oggetti tra loro per la comunicazione e lo scambio delle informazioni ed infine alla realtà aumentata per il supporto nei vari processi industriali. Questi macroargomenti saranno lo spunto per introdurre il concetto di Internet of Medical Things. Con una breve panoramica sugli ospedali al giorno d'oggi, si vuol proporre una nuova concezione di ospedale dove vengono poste al centro dell'attenzione le esigenze del paziente e del personale medico, trattando nello specifico le tecnologie impiegate, i processi chirurgici, clinici e l’erogazione delle prestazioni sanitarie. Il discorso seguirà focalizzando l'attenzione anche su ambienti della medicina come la chirurgia, introducendo un luogo in cui migliaia di dispositivi connessi alla rete comunicano tra di loro. Si vedranno anche tutte le eventuali criticità e le varie sfide che bisognerà risolvere ed intraprendere per arrivare ad un corretto ed efficiente passaggio agli odierni ospedali concepiti per essere ospedali 4.0. Si concluderà con una riflessione su tutte queste tecnologie e la rivoluzione in ambito medico che promette cambiamenti che porteranno al nuovo concetto di Ospedale 4.0 su un’ottica di Internet of Medical Things.
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Chisanga, Fredrick. "Medical application of the Internet of Things (IoT): prototyping a telemonitoring system." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/27940.

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Анотація:
The Internet of Things (IoT) is a technological paradigm that can be perceived as an evolution of the internet. It is a shift from the traditional way of connecting devices to the internet, both in number and diversity of connected devices. This significant and marked growth in the number and diversity of devices connected to the internet has prompted a rethink of approaches to interconnect devices. The growth in the number of connected devices is driven by emerging applications and business models and supported by falling device costs while the growth in the diversity is driven by the reduction in the cost of manufacturing these devices. This has led to an increase in the number of users (not limited to people) of the internet. According to statistics by the ITU, by the end of 2015, about 3.2 billion people were using the Internet. Significantly, 34% of households in developing countries had Internet access, with more than 80% of households in developed countries. This indicates that it is realistic to leverage the IoT in living spaces. Appreciating this potential, many sectors of society are already positioning themselves to reap the benefits of this great promise. Hence the health sector would do well to adopt this technological paradigm to enhance service delivery. One specific area where the health sector can benefit from the adoption of the IoT is in telemonitoring and the associated early response to medical emergencies. Statistics and research show that there are areas in the medical field, that still need improvement to enhance service delivery. The Nursing Times has summed up these areas into four categories. The first one is a need to have a regular observation of patients and their vital signs. Here, health service providers (SPs) need to adopt creative and non-obtrusive methods that will encourage patients' participation in the monitoring of these vital signs. As much as possible, vital signs readings should be taken at convenient locations and times. Therefore, devices that have consistent internet access and are usually a part of daily life for most patients, such as the mobile phones would prove to be a key enabler of regular observation of vital signs. Furthermore, miniaturization of the vital signs monitoring or sensing devices would be a key step towards realizing this scenario. A lot of work is already being done to miniaturize these devices and make them as much a part of daily life as possible, as evidenced by advancements in the field of fitness and wearables. To map this use to the medical field, a system needs to be created that would allow for the aggregation of these disparate measuring and monitoring devices with medical information management systems. The second potential area of improvement is in the early recognition of deterioration of the patients. With regular observation of patients, it is possible to recognize deterioration at its early stage. Taking cognizance of the different needs of the various stakeholders is important to achieve the intended results. The third potential area of improvement is in the communication among stakeholders. This has to do with identifying the relevant data that must be delivered to the stakeholders during the monitoring and management process. Lastly, effective response to medical concerns is the other potential area of improvement. It is noted that patients do not generally get the right response at the right time because the information does not reach the rightly qualified personnel in good time. The regular and real-time capture of vital signs data coupled with added analytics can enable IoT SPs to design solutions that automate the management and transmission of medical data in a timely manner. This work addresses how the medical sector can adopt IoT-based solutions to improve service delivery, while utilizing existing resources such as smartphones, for the transmission and management of vital signs data, availing it to stakeholders and improve communication among them. It develops a telemonitoring system based on IoT design approaches. The developed system captures readings of vital signs from monitoring devices, processes and manages this data to serve the needs of the various stakeholders. Additionally, intelligence was added to enable the system to interpret the data and make decisions that will help medical practitioners and other stakeholders (patients, caregivers, etc.) to more timely, consistently and reliably provide and receive medical services/assistance. Two end user applications were developed. A cloud-based web application developed using PHP, HTML, and JavaScript and an Android mobile application developed using Java programming language in Android studio. An ETSI standards-compliant M2M middleware is used to aggregate the system using M2M applications developed in Python. This is to leverage the benefits of the standards-compliant middleware while offering flexibility in the design of applications. The developed system was evaluated to assess whether it meets the requirements and expectations of the various stakeholders. Finally, the performance of the proposed telemonitoring system was studied by analyzing the delay on the delivery of messages (local notifications, SMS, and email) to various stakeholders to assess the contribution towards reducing the overall time of the cardiac arrest chain of survival. The results obtained showed a marked improvement (over 28 seconds) on previous work. In addition to improved performance in monitoring and management of vital signs, telemonitoring systems have a potential of decongesting health institutions and saving time for all the stakeholders while bridging most of the gaps discussed above. The captured data can also provide the health researchers and physicians with most of the prerequisite data to effectively execute predictive health thereby improving service delivery in the health sector.
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Sayeed, Md Abu. "Epileptic Seizure Detection and Control in the Internet of Medical Things (IoMT) Framework." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1703334/.

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Epilepsy affects up to 1% of the world's population and approximately 2.5 million people in the United States. A considerable portion (30%) of epilepsy patients are refractory to antiepileptic drugs (AEDs), and surgery can not be an effective candidate if the focus of the seizure is on the eloquent cortex. To overcome the problems with existing solutions, a notable portion of biomedical research is focused on developing an implantable or wearable system for automated seizure detection and control. Seizure detection algorithms based on signal rejection algorithms (SRA), deep neural networks (DNN), and neighborhood component analysis (NCA) have been proposed in the IoMT framework. The algorithms proposed in this work have been validated with both scalp and intracranial electroencephalography (EEG, icEEG), and demonstrate high classification accuracy, sensitivity, and specificity. The occurrence of seizure can be controlled by direct drug injection into the epileptogenic zone, which enhances the efficacy of the AEDs. Piezoelectric and electromagnetic micropumps have been explored for the use of a drug delivery unit, as they provide accurate drug flow and reduce power consumption. The reduction in power consumption as a result of minimal circuitry employed by the drug delivery system is making it suitable for practical biomedical applications. The IoMT inclusion enables remote health activity monitoring, remote data sharing, and access, which advances the current healthcare modality for epilepsy considerably.
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Urbini, Elia. "Sviluppo di sistemi interoperabili nell’ambito di internet of medical things basati su standard fhir: un caso di studio." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24307/.

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Анотація:
L'Internet of Things (IoT) sta cambiando le nostre vite in un modo mai immaginato prima. A differenza del paradigma tradizionale, nel mondo dell'IoT tutte le cose sono considerate come oggetti intelligenti, i quali sono connessi l'uno con l'altro. Spaziando dagli elettrodomestici intelligenti alle città intelligenti, l'IoT ha anche aperto una nuova sfida nel settore sanitario, chiamata Internet of Medical Things (IoMT). Essa gioca un ruolo fondamentale nell'aggiornamento degli ospedali verso il modello di smart hospital. I dispositivi usati nell'IoMT sono generalmente interoperabili e possono essere connessi a un unico sistema scalabile quando appartengono allo stesso venditore. Questa dipendenza, tuttavia, presenta un collo di bottiglia in quasi tutti gli scenari di utilizzo pratico a causa di una vasta gamma di sensori e strumenti medici utilizzati in ambito ospedaliero al giorno d'oggi. Data la sua massima importanza, l'interoperabilità rimane al centro di numerose ricerche recenti. Quindi, partendo da questa criticità, l'obiettivo di questa tesi è di fare una proposta di integrazione efficace per il progetto Tracking for Care (T4C), in collaborazione con AUSL della Romagna e Ospedale Bufalini, e in particolare del dispositivo monitor a parametri vitali.
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5

Sundaravadivel, Prabha. "Application-Specific Things Architectures for IoT-Based Smart Healthcare Solutions." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157532/.

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Анотація:
Human body is a complex system organized at different levels such as cells, tissues and organs, which contributes to 11 important organ systems. The functional efficiency of this complex system is evaluated as health. Traditional healthcare is unable to accommodate everyone's need due to the ever-increasing population and medical costs. With advancements in technology and medical research, traditional healthcare applications are shaping into smart healthcare solutions. Smart healthcare helps in continuously monitoring our body parameters, which helps in keeping people health-aware. It provides the ability for remote assistance, which helps in utilizing the available resources to maximum potential. The backbone of smart healthcare solutions is Internet of Things (IoT) which increases the computing capacity of the real-world components by using cloud-based solutions. The basic elements of these IoT based smart healthcare solutions are called "things." Things are simple sensors or actuators, which have the capacity to wirelessly connect with each other and to the internet. The research for this dissertation aims in developing architectures for these things, focusing on IoT-based smart healthcare solutions. The core for this dissertation is to contribute to the research in smart healthcare by identifying applications which can be monitored remotely. For this, application-specific thing architectures were proposed based on monitoring a specific body parameter; monitoring physical health for family and friends; and optimizing the power budget of IoT body sensor network using human body communications. The experimental results show promising scope towards improving the quality of life, through needle-less and cost-effective smart healthcare solutions.
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6

Nan, Yucen. "High-Credibility Edge Analytic System for Early Medical Intervention." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/27309.

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Анотація:
The tremendous upsurge in the size of datasets has started gaining momentum a decade ago in science, finance, and every slice of our everyday life. The same scenario of the data volume explosion also arose in medical healthcare, and the elaborate management and exhaustive exploration of these heterogeneous data play important roles in modern medical care services. Traditional healthcare systems have been unable to cope with this complicated situation. After the popularity of digitized medical records and the evolution of the worldwide network interconnection, cloud computing has been proposed and successfully applied in healthcare with its advantages in competitive advantages, information sharing, and dynamic resources. However, along with the growing aspiration of patients, it is inevitable to gradually reform the structure of the healthcare system from the hospital-oriented centralized healthcare system to the patient-oriented distributed mobile healthcare systems (also termed as mHealth). Moreover, IoT (Internet of Things) provides an efficient and structured way to implement distributed patient-oriented mHealth systems, which inevitably leads to the exponential generation of medical data. To better adapt to the requirements (like time and energy consumption) of mHealth, edge computing has emerged as an effective implementation to complement and improve mobile healthcare systems supported by cloud computing. It is a big step to make healthcare systems more sensitive and flexible. Establishing the edge-based smart healthcare system is one of the best methods to alleviate the gigantic press on public medical care. This thesis aims to present the high-credibility edge analytic system for early medical intervention, covering every stage of the entire medical IoT ecosystem, which can be applied to non-specific or general disease treatments. This thesis summarizes the open issues for each stage within the system and further proposes corresponding solutions: from multi-view learning to improve learning performance to the implementation of interpretable results for medical prediction and analysis in conjunction with the outbreak of the COVID-19. And finally, under the consideration of the entire system architecture, security is guaranteed vertically interpretable analysis of edge distributed computing. These works cover almost all stages of the entire medical IoT ecosystem. We have given a variety of practical application scenarios and obtained the corresponding expected results through detailed and feasible experiments.
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Maioli, Edoardo. "Internet of Medical Things e Sviluppo di Sistemi Interoperabili basati su Standard FHIR: Un caso di studio basato sull'integrazione di un Dispositivo EGA." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24306/.

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Анотація:
Ci troviamo in un mondo in costante cambiamento ed evoluzione, in particolar modo nel settore informatico. È proprio in questo continuo processo di evoluzione che spicca l’IoT ovvero Interent Of Things (Internet delle cose). Oggetti, anche di tutti i giorni, collegati ad Internet capaci di scambiarsi messaggi e di comunicare tra loro. Kevin Ashton, pioniere dell’IoT, dice che questa sarà la prossima rivoluzione tecnologica come lo è stato a suo tempo Internet. Tuttavia, come sarà discusso in questa tesi, alcuni ambiti di applicazione dell’IoT come il sistema medico ed ospedaliero non sono ancora del tutto uniformati ma anzi, presentano vari ostacoli nell’ottica di un sistema interoperabile ed intelligente. Per quanto riguarda quest’ultimo caso si parla di Internet of Medical Things(IoMT), Internet of Healthcare Things (IoHT) o ancora Medicina 4.0 (QuartaRivoluzione Industraile in ambito medico). Possiamo pensare ad un ospedale con vari dispositivi capaci di condividere dati ed informazioni tra loro e di mettere adisposizione questi dati in tempo reale al personale sanitario e al paziente anche a distanza.
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8

Чеботарьова, Д. В., та Я. В. Юр’єв. "Бездротова мережа як засіб зв’язку для пристоїв медичного інтернету речей". Thesis, ФОП Петров В. В, 2021. https://openarchive.nure.ua/handle/document/18671.

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Анотація:
Метою доповіді є застосування бездротових мереж для пристроїв медичного інтернету речей. Пропонується використання різноманітних «розумних» пристроїв та датчиків для пацієнтів, які можуть на відстані вести моніторинг необхідних параметрів стану здоров’я і сповіщати лікаря про небажані зміни.
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Dellgren, Emelie. "A case study on how the Apple Watch can benefit medical heart research." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211493.

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Анотація:
The medical health industry is entering a new era and technology will play a great role in this area. Equipment in hospitals is in many cases strictly dependent on technology that works. However, technology in the medical health industry will maybe become a bigger part of our private lifestyle. This lifestyle includes digital health apps, wearables and devices that track your daily physical routines with “Internet of things”. These ways of keeping track of your health can be used for private purposes, but also to complement medical studies with clinical results. This thesis will focus on how wearables can complement a medical study where patients with severe heart failure will use the smartwatch Apple Watch. This smartwatch will collect data on patients daily physical activity pattern and thereafter analyze this data in order to find activity patterns. This thesis intends to answer the questions How can wearables such as the Apple Watch benefit medical heart research? and what makes the Apple Watch a suitable wearable for the medical study at Lund’s University Hospital? Interviews were therefore held with medical heart researchers and addressed the purpose of the medical study and their choice of wearable. Thereafter, a examination of the Apple Watch was conducted and it together with the interview indicated that the Apple Watch in fact is a suitable wearable. Finally, an exportation process where data from the Apple Watch was done where the exported data then was decoded in Microsoft Excel. The purpose of this was to examine statements that were revealed in the interview. That being said, the thesis came to the conclusion that the Apple Watch contributes a lot when mixing complementing data from wearables with clinical records. Another conclusion was that this tracking device was suitable for the medical study. In what extension the Apple Watch is suitable, is yet unclear since the medical study is in need of further patients and research where one compares wearables against each other.
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10

Wu, Longfei. "Designing Effective Security and Privacy Schemes for Wireless Mobile Devices." Diss., Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/469736.

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Анотація:
Computer and Information Science
Ph.D.
The growing ubiquity of modern wireless and mobile electronic devices has brought our daily lives with more convenience and fun. Today's smartphones are equipped with a variety of sensors and wireless communication technologies, which can support not only the basic functions like phone call and web browsing, but also advanced functions like mobile pay, biometric security, fitness monitoring, etc. Internet-of-Things (IoT) is another category of popular wireless devices that are networked to collect and exchange data. For example, the smart appliances are increasingly deployed to serve in home and office environments, such as smart thermostat, smart bulb, and smart meter. Additionally, implantable medical devices (IMD) is the typical type of modern wireless devices that are implanted within human body for diagnostic, monitoring, and therapeutic purposes. However, these modern wireless and mobile devices are not well protected compared with traditional personal computers (PCs), due to the intrinsic limitations in computation power, battery capacity, etc. In this dissertation, we first present the security and privacy vulnerabilities we discovered. Then, we present our designs to address these issues and enhance the security of smartphones, IoT devices, and IMDs. For smartphone security, we investigate the mobile phishing attacks, mobile clickjacking attacks and mobile camera-based attacks. Phishing attacks aim to steal private information such as credentials. We propose a novel anti-phishing scheme MobiFish, which can detect both phishing webpages and phishing applications (apps). The key idea is to check the consistency between the claimed identity and the actual identity of a webpage/app. The claimed identity can be extracted from the screenshot of login user interface (UI) using the optical character recognition (OCR) technique, while the actual identity is indicated by the secondary-level domain name of the Uniform Resource Locator (URL) to which the credentials are submitted. Clickjacking attacks intend to hijack user inputs and re-route them to other UIs that are not supposed to receive them. To defend such attacks, a lightweight and independent detection service is integrated into the Android operating system. Our solution requires no user or app developer effort, and is compatible with existing commercial apps. Camera-based attacks on smartphone can secretly capture photos or videos without the phone user's knowledge. One advanced attack we discovered records the user's eye movements when entering passwords. We found that it is possible to recover simple passwords from the video containing user eye movements. Next, we propose an out-of-band two-factor authentication scheme for indoor IoT devices (e.g., smart appliances) based on the Blockchain infrastructure. Since smart home environment consists of multiple IoT devices that may share their sensed data to better serve the user, when one IoT device is being accessed, our design utilizes another device to conduct a secondary authentication over an out-of-band channel (light, acoustic, etc.), to detect if the access requestor is a malicious external device. Unlike smartphones and IoT devices, IMDs have the most limited computation and battery resources. We devise a novel smartphone-assisted access control scheme in which the patient's smartphone is used to delegate the heavy computations for authentication and authorization. The communications between the smartphone and the IMD programmer are conducted through an audio cable, which can resist the wireless eavesdropping and other active attacks.
Temple University--Theses
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Книги з теми "Medical Internet of Things"

1

Hemanth, D. Jude, J. Anitha, and George A. Tsihrintzis, eds. Internet of Medical Things. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63937-2.

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Mitra, Anirban, Jayanta Mondal, and Anirban Das. Medical Internet of Things. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429318078.

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Hassanien, Aboul Ella, Nilanjan Dey, and Surekha Borra, eds. Medical Big Data and Internet of Medical Things. Boca Raton : Taylor & Francis, [2019]: CRC Press, 2018. http://dx.doi.org/10.1201/9781351030380.

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Chakraborty, Chinmay, Amit Banerjee, Lalit Garg, and Joel J. P. C. Rodrigues, eds. Internet of Medical Things for Smart Healthcare. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8097-0.

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Prasanth, A., Lakshmi D, Rajesh Kumar Dhanaraj, Sherimon P C, and Balamurugan Balusamy. Cognitive Computing for Internet of Medical Things. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003256243.

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Al-Turjman, Fadi, and Anand Nayyar, eds. Machine Learning for Critical Internet of Medical Things. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-80928-7.

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Hassanien, Aboul Ella, Aditya Khamparia, Deepak Gupta, K. Shankar, and Adam Slowik, eds. Cognitive Internet of Medical Things for Smart Healthcare. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-55833-8.

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Soufiene, Ben Othman, Chinmay Chakraborty, and Faris A. Almalki. Practical Artificial Intelligence for Internet of Medical Things. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003315476.

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Chakraborty, Chinmay, Uttam Ghosh, Vinayakumar Ravi, and Yogesh Shelke, eds. Efficient Data Handling for Massive Internet of Medical Things. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66633-0.

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Gupta, Sunil, Hitesh Kumar Sharma, and Monit Kapoor. Blockchain for Secure Healthcare Using Internet of Medical Things (IoMT). Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18896-1.

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Частини книг з теми "Medical Internet of Things"

1

Guntur, Sitaramanjaneya Reddy, Rajani Reddy Gorrepati, and Vijaya R. Dirisala. "Internet of Medical Things." In Medical Big Data and Internet of Medical Things, 271–97. Boca Raton : Taylor & Francis, [2019]: CRC Press, 2018. http://dx.doi.org/10.1201/9781351030380-11.

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Mahfuz, Mohammad Upal. "Internet of Medical Things." In Encyclopedia of Wireless Networks, 661–64. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_268.

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Mahfuz, Mohammad Upal. "Internet of Medical Things." In Encyclopedia of Wireless Networks, 1–3. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-32903-1_268-1.

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Moutaib, Mohammed, Tarik Ahajjam, Mohammed Fattah, Youssef Farhaoui, and Badraddine Aghoutane. "Internet of medical things." In Networking Technologies in Smart Healthcare, 79–96. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003239888-4.

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Al-Humairi, Safaa N. Saud, Asif Iqbal Hajamydeen, and Husniza Razalli. "Internet of Medical Things." In Healthcare Systems and Health Informatics, 127–50. New York: CRC Press, 2021. http://dx.doi.org/10.1201/9781003146087-11.

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Soni, Nisarg, Saurav Tayal, Tarun Kumar Singh, and Gourinath Banda. "Blockchain-Based Medical Records System." In Internet of Things, 61–77. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93646-4_3.

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Kaushik, Shweta. "Big Medical Data Analytics Using Sensor Technology." In Internet of Things, 45–70. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66633-0_3.

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Parvathy, Velmurugan Subbiah, Sivakumar Pothiraj, and Jenyfal Sampson. "Hyperparameter Optimization of Deep Neural Network in Multimodality Fused Medical Image Classification for Medical and Industrial IoT." In Internet of Things, 127–46. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-52624-5_9.

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Kakulapati, V., and Parimi Shiva Kalyan. "Medical Prescription Traceability Using Blockchain-Based Decentralized Application." In Internet of Things, 113–30. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08254-2_7.

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Iqbal, Hena, and Udit Chawla. "Smart IoT Treatment: Making Medical Care More Intelligent." In Internet of Things, 87–103. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75220-0_5.

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Тези доповідей конференцій з теми "Medical Internet of Things"

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Jha, Niraj K. "Internet-of-Medical-Things." In GLSVLSI '17: Great Lakes Symposium on VLSI 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3060403.3066861.

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PremaLatha, V., E. Sreedevi, and S. Sivakumar. "Contemplate on Internet of Things Transforming as Medical Devices - The Internet of Medical Things (IOMT)." In 2019 International Conference on Intelligent Sustainable Systems (ICISS). IEEE, 2019. http://dx.doi.org/10.1109/iss1.2019.8908090.

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Wei Zhao, Chaowei Wang, and Y. Nakahira. "Medical application on Internet of Things." In IET International Conference on Communication Technology and Application (ICCTA 2011). IET, 2011. http://dx.doi.org/10.1049/cp.2011.0751.

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Forrest, Shawn, Kaitlyn Baker, and Mohammed Ketel. "Internet of Medical Things: Enabling Key Technologies." In SoutheastCon 2021. IEEE, 2021. http://dx.doi.org/10.1109/southeastcon45413.2021.9401862.

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Vishnu, S., S. R. Jino Ramson, and R. Jegan. "Internet of Medical Things (IoMT) - An overview." In 2020 5th International Conference on Devices, Circuits and Systems (ICDCS). IEEE, 2020. http://dx.doi.org/10.1109/icdcs48716.2020.243558.

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Dridi, Ahmed, Salma Sassi, and Sami Faiz. "Towards a Semantic Medical Internet of Things." In 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA). IEEE, 2017. http://dx.doi.org/10.1109/aiccsa.2017.194.

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Roshanzamir, Mohamad, Mohammad Tayarani Darbandy, Mahdi Roshanzamir, Roohallah Alizadehsani, Afshin Shoeibi, and Davood Ahmadian. "Swarm Intelligence in Internet of Medical Things." In 2022 IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems (ICCC 2022). IEEE, 2022. http://dx.doi.org/10.1109/iccc202255925.2022.9922793.

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Mishra, Ayushi, and Priyanka Bagade. "Digital Forensics for Medical Internet of Things." In 2022 IEEE Globecom Workshops (GC Wkshps). IEEE, 2022. http://dx.doi.org/10.1109/gcwkshps56602.2022.10008761.

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Chhatlani, Aakash, Aanchal Dadlani, Meet Gidwani, Monish Keswani, and Prashant Kanade. "Portable Medical Records Using Internet of Things for Medical Devices." In 2016 8th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2016. http://dx.doi.org/10.1109/cicn.2016.93.

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Seliem, Mohamed, and Khalid Elgazzar. "BIoMT: Blockchain for the Internet of Medical Things." In 2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom). IEEE, 2019. http://dx.doi.org/10.1109/blackseacom.2019.8812784.

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Звіти організацій з теми "Medical Internet of Things"

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MacFarlane, Andrew. 2021 medical student essay prize winner - A case of grief. Society for Academic Primary Care, July 2021. http://dx.doi.org/10.37361/medstudessay.2021.1.1.

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Анотація:
As a student undertaking a Longitudinal Integrated Clerkship (LIC)1 based in a GP practice in a rural community in the North of Scotland, I have been lucky to be given responsibility and my own clinic lists. Every day I conduct consultations that change my practice: the challenge of clinically applying the theory I have studied, controlling a consultation and efficiently exploring a patient's problems, empathising with and empowering them to play a part in their own care2 – and most difficult I feel – dealing with the vast amount of uncertainty that medicine, and particularly primary care, presents to both clinician and patient. I initially consulted with a lady in her 60s who attended with her husband, complaining of severe lower back pain who was very difficult to assess due to her pain level. Her husband was understandably concerned about the degree of pain she was in. After assessment and discussion with one of the GPs, we agreed some pain relief and a physio assessment in the next few days would be a practical plan. The patient had one red flag, some leg weakness and numbness, which was her ‘normal’ on account of her multiple sclerosis. At the physio assessment a few days later, the physio felt things were worse and some urgent bloods were ordered, unfortunately finding raised cancer and inflammatory markers. A CT scan of the lung found widespread cancer, a later CT of the head after some developing some acute confusion found brain metastases, and a week and a half after presenting to me, the patient sadly died in hospital. While that was all impactful enough on me, it was the follow-up appointment with the husband who attended on the last triage slot of the evening two weeks later that I found completely altered my understanding of grief and the mourning of a loved one. The husband had asked to speak to a Andrew MacFarlane Year 3 ScotGEM Medical Student 2 doctor just to talk about what had happened to his wife. The GP decided that it would be better if he came into the practice - strictly he probably should have been consulted with over the phone due to coronavirus restrictions - but he was asked what he would prefer and he opted to come in. I sat in on the consultation, I had been helping with any examinations the triage doctor needed and I recognised that this was the husband of the lady I had seen a few weeks earlier. He came in and sat down, head lowered, hands fiddling with the zip on his jacket, trying to find what to say. The GP sat, turned so that they were opposite each other with no desk between them - I was seated off to the side, an onlooker, but acknowledged by the patient with a kind nod when he entered the room. The GP asked gently, “How are you doing?” and roughly 30 seconds passed (a long time in a conversation) before the patient spoke. “I just really miss her…” he whispered with great effort, “I don’t understand how this all happened.” Over the next 45 minutes, he spoke about his wife, how much pain she had been in, the rapid deterioration he witnessed, the cancer being found, and cruelly how she had passed away after he had gone home to get some rest after being by her bedside all day in the hospital. He talked about how they had met, how much he missed her, how empty the house felt without her, and asking himself and us how he was meant to move forward with his life. He had a lot of questions for us, and for himself. Had we missed anything – had he missed anything? The GP really just listened for almost the whole consultation, speaking to him gently, reassuring him that this wasn’t his or anyone’s fault. She stated that this was an awful time for him and that what he was feeling was entirely normal and something we will all universally go through. She emphasised that while it wasn’t helpful at the moment, that things would get better over time.3 He was really glad I was there – having shared a consultation with his wife and I – he thanked me emphatically even though I felt like I hadn’t really helped at all. After some tears, frequent moments of silence and a lot of questions, he left having gotten a lot off his chest. “You just have to listen to people, be there for them as they go through things, and answer their questions as best you can” urged my GP as we discussed the case when the patient left. Almost all family caregivers contact their GP with regards to grief and this consultation really made me realise how important an aspect of my practice it will be in the future.4 It has also made me reflect on the emphasis on undergraduate teaching around ‘breaking bad news’ to patients, but nothing taught about when patients are in the process of grieving further down the line.5 The skill Andrew MacFarlane Year 3 ScotGEM Medical Student 3 required to manage a grieving patient is not one limited to general practice. Patients may grieve the loss of function from acute trauma through to chronic illness in all specialties of medicine - in addition to ‘traditional’ grief from loss of family or friends.6 There wasn’t anything ‘medical’ in the consultation, but I came away from it with a real sense of purpose as to why this career is such a privilege. We look after patients so they can spend as much quality time as they are given with their loved ones, and their loved ones are the ones we care for after they are gone. We as doctors are the constant, and we have to meet patients with compassion at their most difficult times – because it is as much a part of the job as the knowledge and the science – and it is the part of us that patients will remember long after they leave our clinic room. Word Count: 993 words References 1. ScotGEM MBChB - Subjects - University of St Andrews [Internet]. [cited 2021 Mar 27]. Available from: https://www.st-andrews.ac.uk/subjects/medicine/scotgem-mbchb/ 2. Shared decision making in realistic medicine: what works - gov.scot [Internet]. [cited 2021 Mar 27]. Available from: https://www.gov.scot/publications/works-support-promote-shared-decisionmaking-synthesis-recent-evidence/pages/1/ 3. Ghesquiere AR, Patel SR, Kaplan DB, Bruce ML. Primary care providers’ bereavement care practices: Recommendations for research directions. Int J Geriatr Psychiatry. 2014 Dec;29(12):1221–9. 4. Nielsen MK, Christensen K, Neergaard MA, Bidstrup PE, Guldin M-B. Grief symptoms and primary care use: a prospective study of family caregivers. BJGP Open [Internet]. 2020 Aug 1 [cited 2021 Mar 27];4(3). Available from: https://bjgpopen.org/content/4/3/bjgpopen20X101063 5. O’Connor M, Breen LJ. General Practitioners’ experiences of bereavement care and their educational support needs: a qualitative study. BMC Medical Education. 2014 Mar 27;14(1):59. 6. Sikstrom L, Saikaly R, Ferguson G, Mosher PJ, Bonato S, Soklaridis S. Being there: A scoping review of grief support training in medical education. PLOS ONE. 2019 Nov 27;14(11):e0224325.
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Sahlin, Bengt. Internet of Things and Security. Denmark: River Publishers, June 2016. http://dx.doi.org/10.13052/popcas003.

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Kahn, Alison, Marc Leh, and Brianna Vendetti. Internet of things workshop report. Gaithersburg, MD: National Institute of Standards and Technology, July 2019. http://dx.doi.org/10.6028/nist.sp.2100-01.

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Mudunuru, Maruti Kumar, and Mary Beth Cernicek. An Internet of Things Commercial Opportunity. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1463528.

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Mudunuru, Maruti Kumar. IoGET: Internet of Geophysical and Environmental Things. Office of Scientific and Technical Information (OSTI), July 2017. http://dx.doi.org/10.2172/1369163.

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Decker, Brett. Tierless Programming for the Internet of Things. Office of Scientific and Technical Information (OSTI), February 2015. http://dx.doi.org/10.2172/1169934.

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Greer, Christopher, Martin Burns, David Wollman, and Edward Griffor. Cyber-physical systems and internet of things. Gaithersburg, MD: National Institute of Standards and Technology, March 2019. http://dx.doi.org/10.6028/nist.sp.1900-202.

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Boyanov, Luben. Internet of Things Reference Architecture Proto type. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, July 2021. http://dx.doi.org/10.7546/crabs.2021.07.11.

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Gomez, C., M. Kovatsch, and H. Tian. Energy-Efficient Features of Internet of Things Protocols. Edited by Z. Cao. RFC Editor, April 2018. http://dx.doi.org/10.17487/rfc8352.

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Moran, B., H. Tschofenig, D. Brown, and M. Meriac. A Firmware Update Architecture for Internet of Things. RFC Editor, April 2021. http://dx.doi.org/10.17487/rfc9019.

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