Relevant bibliographies by topics / Mobile medical device

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Mobile medical device'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Mobile medical device"

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Kadimo, Khutsafalo, Athulang Mutshewa, and Masego B. Kebaetse. "Understanding the role of the bring-your-own-device policy in medical education and healthcare delivery at the University of Botswana’s Faculty of Medicine." Information and Learning Sciences 123, no. 3/4 (January 11, 2022): 199–213. http://dx.doi.org/10.1108/ils-09-2021-0077.

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Purpose Seeking to leverage on benefits of personal mobile device use, medical schools and healthcare facilities are increasingly embracing the use of personal mobile devices for medical education and healthcare delivery through bring-your-own-device (BYOD) policies. However, empirical research findings that could guide the development of BYOD policies are scarce. Available research is dominated by studies that were guided by technocentric approaches, hence seemingly overlooking the complexities of the interactions of actors in mobile device technologies implementation. The purpose of this study was to use the actor–network theory to explore the potential role of a BYOD policy at the University of Botswana’s Faculty of Medicine. Design/methodology/approach Purposive sampling was used to select the participants and interviews, focus group discussions, observations and document analysis were used to collect data. Data were collected from 27 participants and analysed using grounded theory techniques. Emerging themes were continually compared and contrasted with incoming data to create broad themes and sub-themes and to establish relationships or patterns from the data. Findings The results suggest that the potential roles for BYOD policy include promoting appropriate mobile device use, promoting equitable access to mobile devices and content, and integrating mobile devices into medical education, healthcare delivery and other institutional processes. Research limitations/implications BYOD policy could be conceptualized and researched as a “script” that binds actors/actants into a “network” of constituents (with shared interests) such as medical schools and healthcare facilities, mobile devices, internet/WiFi, computers, software, computer systems, medical students, clinical teachers or doctors, nurses, information technology technicians, patients, curriculum, information sources or content, classrooms, computer labs and infections. Practical implications BYOD is a policy that seeks to represent the interests (presents as a solution to their problems) of the key stakeholders such as medical schools, healthcare facilities and mobile device users. BYOD is introduced in medical schools and healthcare facilities to promote equitable access to mobile devices and content, appropriate mobile device use and ensure distribution of liability between the mobile device users and the institution and address the implication of mobile device use in teaching and learning. Originality/value The BYOD policy is a comprehensive solution that transcends other institutional policies and regulations to fully integrate mobile devices in medical education and healthcare delivery.
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Jahn, Haiko Kurt, Ingo Henry Johannes Jahn, Wilhelm Behringer, Mark D. Lyttle, and Damian Roland. "A survey of mHealth use from a physician perspective in paediatric emergency care in the UK and Ireland." European Journal of Pediatrics 180, no. 8 (March 25, 2021): 2409–18. http://dx.doi.org/10.1007/s00431-021-04023-0.

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Abstract There has been a drive towards increased digitalisation in healthcare. The aim was to provide a snapshot of current apps, instant messaging, and smartphone photography use in paediatric emergency care. A web-based self-report questionnaire was performed. Individual physicians working in paediatric emergency care recorded their personal practice. One hundred ninety-eight medical doctors completed the survey. Eight percent of respondents had access to institutional mobile devices to run medical apps. Eighty-six percent of respondents used medical apps on their personal mobile device, with 78% using Apple iOS devices. Forty-seven percent of respondents used formulary apps daily. Forty-nine percent of respondents had between 1–5 medical apps on their personal mobile device. Respondents who used medical apps had a total of 845 medical apps installed on their personal device, accounted for by 56 specific apps. The British National Formulary (BNF/BNFc) app was installed on the personal mobile device of 96% of respondents that use medical apps. Forty percent of respondents had patient confidentiality concerns when using medical apps. Thirty-eight percent of respondents have used consumer instant messaging services, 6% secure specialist messaging services, and 29% smartphone photography when seeking patient management advice. Conclusion App use on the personal mobile devices, in the absence of access to institutional devices, was widespread, especially the use of a national formulary app. Instant messaging and smartphone photography were less common. A strategic decision has to be made to either provide staff with institutional devices or use software solutions to address data governance concerns when using personal devices. What is Known:• mHealth use by junior doctors and medical students is widespread.• Clinicians’ use of instant messaging apps such as WhatsApp is the widespread in the UK and Ireland, in the absence of alternatives. What is New:• Personal mobile device use was widespread in the absence of alternatives, with the British National Formulary nearly universally downloaded to physicians’ personal mobile devices.• A third of respondents used instant messaging and smartphone photography on their personal mobile device when seeking patient management advice from other teams in the absence of alternatives.
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Wang, Yaozong. "Risk Analysis and Countermeasures for Wearable Mobile Medical Devices." Advances in Economics, Management and Political Sciences 6, no. 1 (April 27, 2023): 237–42. http://dx.doi.org/10.54254/2754-1169/6/20220211.

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With peoples attention to health, wearable mobile medical devices have gradually entered people's vision in recent years. With its convenient and fast functions, it is expected to im-prove the current medical environment. A wearable mobile health device is a portable de-vice that is worn directly on the body or integrated into the user's clothing or accessories. Wearable devices are not only hardware devices but also perform powerful functions through software support, data interaction, and cloud interaction. Wearable devices will bring great changes to our lives and perceptions. This chapter will explain the technology, development, device form, market performance, and other aspects of wearable devices.
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Moorman, Bridget A., and Richard A. Cockle. "Medical Device Integration Using Mobile Telecommunications Infrastructure." Biomedical Instrumentation & Technology 47, no. 3 (May 1, 2013): 224–32. http://dx.doi.org/10.2345/0899-8205-47.3.224.

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Kim, Jeong-Heon, Seung-Chul Lee, Boon-Giin Lee, and Wan-Young Chung. "Mobile Healthcare System Based on Bluetooth Medical Device." Journal of Sensor Science and Technology 21, no. 4 (July 31, 2012): 241–48. http://dx.doi.org/10.5369/jsst.2012.21.4.241.

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Mohd Fairuz, Fadlin Amira, Rania Hussein Al Ashwal, and Maheza Irna Mohamad Salim. "MediLog: A Pilot Study of Online Management System for Medical Device Status and Loan." Journal of Human Centered Technology 3, no. 1 (February 6, 2024): 29–39. http://dx.doi.org/10.11113/humentech.v3n1.67.

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Malaysia's medical device industry is experiencing significant growth, with 309,829 devices procured at a cost of RM 7.78 billion and actively utilized in public hospitals nationwide. This surge highlights the need for an advanced medical device management system to efficiently handle the life cycle of these devices to ensure optimal utilization and streamline operations. Other proposed technological solutions like RFID, RTLS, and infrared tags aim to address these challenges, but their high installation costs pose barriers, especially for government hospitals. To overcome these obstacles, this pilot study advocates for a mobile application as a cost-effective alternative for comprehensive medical data management. The proposed application, developed using MIT Apps, capitalizes on portability, ease of management, and the multifunctionality of mobile platforms. A key feature of the application is the barcode scanner, widely employed across industries for enhanced data capture efficiency. The Real-time Database is integrated into the project, facilitating the swift and accurate storage of medical device information. In essence, the mobile application prototype provides a practical solution to the limitations of manual data management in the biomedical department. Leveraging MIT Apps and incorporating features like the barcode scanner and Real-time Database, the application streamlines the updating of machine details, ensuring users access precise and current information. This approach promotes efficiency, accuracy, and effectiveness in medical device management within the healthcare system.
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Wang, Chen, Wenying Zheng, Sai Ji, Qi Liu, and Anxi Wang. "Identity-Based Fast Authentication Scheme for Smart Mobile Devices in Body Area Networks." Wireless Communications and Mobile Computing 2018 (August 5, 2018): 1–7. http://dx.doi.org/10.1155/2018/4028196.

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Smart mobile devices are one of the core components of the wireless body area networks (WBANs). These devices shoulder the important task of collecting, integrating, and transmitting medical data. When a personal computer collects information from these devices, it needs to authenticate the identity of them. Some effective schemes have been put forward to the device authentication in WBANs. However, few researchers have studied the WBANs device authentication in emergency situations. In this paper, we present a novel system named emergency medical system without the assistance of doctors. Based on the system, we propose an identity-based fast authentication scheme for smart mobile devices in WBANs. The scheme can shorten the time of device authentication in an emergency to achieve fast authentication. The analysis of this paper proves the security and efficiency of the proposed scheme.
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Vasanthakumaran, Tamilarasy. "Mobile use, stress, sleep disturbances, and symptoms of depression in the medical profession: a cross-sectional study." International Journal Of Community Medicine And Public Health 5, no. 8 (July 23, 2018): 3345. http://dx.doi.org/10.18203/2394-6040.ijcmph20183059.

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Background: With the use of mobile phones increasing in the current generation, it is vital to analyze its negative effects on both mental and physical health.Methods: A questionnaire was given to 120 participants both studying and working in the medical profession. Assessment of the correlation between the use of their mobile device and health was made with mobile phone variables and mental health outcomes (including sleep disturbance, stress and depression). The Pittsburgh Sleep Quality Index (PSQI), Perceived Stress Scale (PSS) and the Centre for Epidemiologic Studies Depression Scale (CES-D) were the scales use to assess these correlations.Results: Results showed a correlation between the hours of use on mobile devices and health aspects. Among the study population, 89.1% owned a single mobile device and 10.9% owned more than one mobile phone. Daily use among these individuals varied from 30 minutes to over 5 hours of use per day. Features used on mobile phones were most commonly communication (94.1%), Internet (92.4%) and social media (90.8%).Conclusions: Statistically significant correlation is seen between mobile phone usage and stress, sleep disturbance and symptoms of depression.
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Gogolin, Greg, and Erin Gogolin. "The Use of Embedded Mobile, RFID, Location Based Services, and Augmented Reality in Mobile Applications." International Journal of Handheld Computing Research 8, no. 1 (January 2017): 42–52. http://dx.doi.org/10.4018/ijhcr.2017010104.

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The proliferation of mobile devices such as smart phones and other handheld appliances has stimulated the development of a broad range of functionality, including medical, retail, gaming, and personal applications. Technology that has been leveraged to enable many of these uses includes embedded mobile, radio frequency identification, location based services, and augmented reality. Embedded mobile refers to preprogrammed tasks that are performed on a mobile device. Personal care and monitoring is one of the most common uses of embedded mobile. RFID involves communication between a tag and a reader. Mobile RFID extends the technology by tagging the mobile device with an RFID tag to perform tasks on the device. Near field communication is frequently utilized in mobile payment systems. Advertisers find this of significant use in focusing advertisements based on the location of an individual. Augmented reality involves the use of computer generated or enhanced sensory input such as audio and visual components to enhance the perception of reality.
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Maassen, Oliver, Sebastian Fritsch, Julia Gantner, Saskia Deffge, Julian Kunze, Gernot Marx, and Johannes Bickenbach. "Future Mobile Device Usage, Requirements, and Expectations of Physicians in German University Hospitals: Web-Based Survey." Journal of Medical Internet Research 22, no. 12 (December 21, 2020): e23955. http://dx.doi.org/10.2196/23955.

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Background The use of mobile devices in hospital care constantly increases. However, smartphones and tablets have not yet widely become official working equipment in medical care. Meanwhile, the parallel use of private and official devices in hospitals is common. Medical staff use smartphones and tablets in a growing number of ways. This mixture of devices and how they can be used is a challenge to persons in charge of defining strategies and rules for the usage of mobile devices in hospital care. Objective Therefore, we aimed to examine the status quo of physicians’ mobile device usage and concrete requirements and their future expectations of how mobile devices can be used. Methods We performed a web-based survey among physicians in 8 German university hospitals from June to October 2019. The online survey was forwarded by hospital management personnel to physicians from all departments involved in patient care at the local sites. Results A total of 303 physicians from almost all medical fields and work experience levels completed the web-based survey. The majority regarded a tablet (211/303, 69.6%) and a smartphone (177/303, 58.4%) as the ideal devices for their operational area. In practice, physicians are still predominantly using desktop computers during their worktime (mean percentage of worktime spent on a desktop computer: 56.8%; smartphone: 12.8%; tablet: 3.6%). Today, physicians use mobile devices for basic tasks such as oral (171/303, 56.4%) and written (118/303, 38.9%) communication and to look up dosages, diagnoses, and guidelines (194/303, 64.0%). Respondents are also willing to use mobile devices for more advanced applications such as an early warning system (224/303, 73.9%) and mobile electronic health records (211/303, 69.6%). We found a significant association between the technical affinity and the preference of device in medical care (χs2=53.84, P<.001) showing that with increasing self-reported technical affinity, the preference for smartphones and tablets increases compared to desktop computers. Conclusions Physicians in German university hospitals have a high technical affinity and positive attitude toward the widespread implementation of mobile devices in clinical care. They are willing to use official mobile devices in clinical practice for basic and advanced mobile health uses. Thus, the reason for the low usage is not a lack of willingness of the potential users. Challenges that hinder the wider adoption of mobile devices might be regulatory, financial and organizational issues, and missing interoperability standards of clinical information systems, but also a shortage of areas of application in which workflows are adapted for (small) mobile devices.
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Dissertations / Theses on the topic "Mobile medical device"

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Hrabar, Silvio. "Analysis of electromagnetic interference between mobile telephone and implanted medical device." Thesis, Brunel University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341092.

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Gavefalk, Sofia, and Ludwig Widén. "International market selection : Assessing opportunities in the European Union for a mHealth consumer medical device start-up." Thesis, KTH, Entreprenörskap och Innovation, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188829.

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To date, there are no existing models for evaluating foreign markets, adapted to mobile health (mHealth) consumer medical device (CMD) start-ups seeking to launch their products or services in new countries. This calls for the development of a suitable international market selection (IMS) model that captures the complexity of and opportunities for mHealth. mHealth is a sub-segment of electronic health (eHealth), which furthermore is part of the wider phenomenon of digital health. mHealth covers medical and public health practice supported by mobile devices. This paper proposes a multidimensional IMS model comprising both macro and micro level factors. Our specialized approach integrates tools and theories by a number of researchers and is showcased in the assessment of the European Union (EU) for the mHealth CMD company AdhereBox. AdhereBox is a Swedish start-up that has developed a CMD consisting of a “smart” pillbox and a complementary mobile software application. We propose a number of dimensions that should be evaluated when assessing the potential  of the different EU health care markets in regards to mHealth CMD start-ups. Our suggested approach includes factors which are categorized into two groups of parameters: (i) stakeholders (which comprises consumers, providers, payers, distributors and collaborators) and (ii) barriers & enablers (consisting of incentives, reimbursement models, technological infrastructure, regulations and existing solutions). In summary, our study identifies critical factors that mHealth CMD start-ups should consider when evaluating foreign markets in an IMS. By applying our IMS model on AdhereBox, we illustrate how our model can be used, its parameters assessed and the interdependencies between these analyzed in order to arrive at a set of recommendations for further market analysis and conclusions on country attractiveness. As such, we believe that our research could provide valuable insights and guidelines for firms within mHealth seeking to expand their business within the EU, as well as for governmental organizations that want to better leverage and stimulate the potentials of a flourishing domestic mHealth ecosystem.
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Gianessi, Leonardo. "Rassegna di dispositivi mobili per la raccolta di dati biomedici." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amslaurea.unibo.it/1186/.

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Jahn, Haiko [Verfasser], Wilhelm [Gutachter] Behringer, James F. [Gutachter] Beck, and Sebastian van [Gutachter] As. "Survey of mobile device and Medical App use in emergency care / Haiko Jahn ; Gutachter: Wilhelm Behringer, James F. Beck, Sebastian van As." Jena : Friedrich-Schiller-Universität Jena, 2020. http://d-nb.info/1209196018/34.

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Berberich, Katelyn. "Evaluating Mobile Information Display System in Transfer of Care." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1503437044573349.

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Gan, Yajian. "Analysis of bioelectric mechanisms at the skin-electrode interface for mobile acquisition of physiological signals : application to ECG measurement for the prevention of cardiovascular diseases." Electronic Thesis or Diss., Aix-Marseille, 2021. http://www.theses.fr/2021AIXM0045.

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Les maladies cardiovasculaires deviennent de plus en plus préoccupantes dans le monde entier. En 2020, le monde souffre de la crise du coronavirus Covid-19, dont le fort rythme de la contagion et les symptômes ont déjà provoqué la mort de plusieurs millions de personnes. Les résultats cliniques ont prouvé que le coronavirus et le médicament thérapeutique (chloroquine) peuvent tous deux endommager le cœur de manière irréversible, sous forme d’arythmies. Par rapport à l’appareil d’ECG utilisé dans les hôpitaux, les appareils d’ECG mobiles à simple dérivation sont la meilleure solution pour surveiller la santé cardiaque à tout moment et en tout lieu. Cependant, la plupart de ces appareils manquent de précision et d’exactitude des mesures, principalement dû au fait que le faible signal ECG est facilement perturbé par le mouvement de l’utilisateur et par l’environnement. Cette thèse étudie tout d’abord le matériau le plus approprié pour l’électrode à simple dérivation. Par la suite, des expériences approfondies ont été élaborées et réalisées pour analyser les sources d’interférence du signal ECG en s’appuyant sur un modèle physico-chimique de l’impédance peau-électrode proposé. Enfin, des méthodes de compensation directes et indirectes (fonction de transfert / intelligence artificielle) sont proposées pour éliminer les interférences dû au mouvement dans le signal ECG. L’objectif de cette recherche est d’appliquer ces résultats à l’optimisation du produit "Witcard" et de fournir des informations expérimentales précieuses à d’autres chercheurs qui travaillent à l’amélioration de la qualité de l’enregistrement des signaux ECG avec des équipements mobiles à simple dérivation
Cardiovascular diseases are becoming increasingly serious worldwide. Especially in the year 2020, when the world is suffering from the coronavirus. Clinical results have proved that both coronavirus and the therapeutic drug (chloroquine) can irreversibly damage the heart, such as arrhythmias. Compared to the ECG machine used in the hospitals that consumes plenty of patients’ time and money, single-lead mobile ECG monitors are the best solution for monitoring heart health anytime, anywhere. However, most of the handheld ECG monitoring devices on the market have not passed clinical testing due to the lack of accuracy and precision of measurement, mainly caused by the fact that the weak ECG signal is easily disturbed by the subject’s movement and the surrounding environment. This thesis investigates the most suitable material for the single-lead electrode at first. Secondly, extensive experiments have been designed and practiced analyzing the sources of ECG noise interference. The physicochemical model of the skin-electrode impedance is proposed at the same time. Finally, directly and indirectly method with the corresponding algorithm (transfer function/artificial intelligence) has been used to eliminate the interference in ECG signal when the motion artifact exists. This research aims to apply these findings to the optimization of the product “Witcard” and provide valuable experimental information to other researchers who work to improve the quality of ECG signal recording with signal-lead mobile ECG equipment
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Monsen, Karl Didrik. "Better medical apps for healthcare practitioners through interdisciplinary collaboration : lessons from transfusion medicine." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/25771.

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Mobile applications (“apps”) are increasingly used in medical education and practice. However, many medical apps are of variable quality, lack supporting evidence and fall outside the remit of regulators. In this thesis, I explore how the quality and credibility of apps for healthcare practitioners could be improved. I argue that interdisciplinary collaboration throughout the app life-cycle is critical and discuss how this can be facilitated. My argument rests on prior work in eHealth and neighbouring disciplines, and on original research in transfusion medicine. Blood transfusion can be a life-saving medical treatment. However, it also carries risks. Failures to provide irradiated and cytomegalovirus-negative blood components according to guidelines are frequently reported in the UK. Such incidents put patients at risk of serious complications. Haemovigilance data indicates that enhancing practitioner knowledge may reduce mistakes. Thus, I worked with medical experts to develop and evaluate the Special Blood Components (SBC) mobile learning app. To facilitate this work, I created two tools: the Web App Editor (WAE) and the Web App Trial (WAT). The former is a collaborative editor for building apps in a web browser and the latter is a system for conducting online randomised controlled app trials. The results are reported in five studies. Studies 1 and 2, based on interviews with seven practitioners, revealed shortcomings in an existing transfusion app and the SBC prototype. Study 3 demonstrated how students using theWAE were able to collaborate on apps, including an app in stroke medicine. Study 4, an evaluation of the revised SBC app with 54 medical students, established the ease of use as acceptable. In study 5, a WAT pilot study with 61 practitioners, the SBC app doubled scores on a knowledge test and was rated more favourably than existing hospital guidelines. In conclusion, creating high quality medical apps that are supported by evidence is a considerable undertaking and depends on a mix of knowledges and skills. It requires that healthcare practitioners, software developers and otherswork together effectively. Hence, the WAE and WAT are key research outcomes. They enabled participants to contribute improvements and assess the usability and efficacy of the SBC app. The results suggest that the SBC app is easy to use and can improve practitioner knowledge. Further work remains to pilot and evaluate the SBC app in a hospital setting.
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Brunberg, Marike. "User optimized design of handheld medical devices -applications and casing." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-36270.

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Campoalegre, Vera Lázaro. "Contributions to the interactive visualization of medical volume models in mobile devices." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/285166.

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With current medical imaging improvements, specialists are being able to obtain correct information of anatomical structures of the human organism. By using different image visualization techniques, experts can obtain suitable images for bones, soft tissues, bloodstream among others. Present algorithms generate images with better and better resolution and information accuracy. Medical doctors are being more familiarized with three-dimensional structures reconstructed from bi-dimensional images. As a result, hospitals are becoming interested in tele-medicine and tele-diagnostic solutions. Client-server applications allow these functionalities. Sometimes the use of mobile devices is necessary due to their portability and easy maintenance. However, transmission time for the volumetric information and low performance hardware properties make quite complex the design of efficient visualization systems on these devices. The main objective of this thesis is to enrich user experience during the interactive visualization of volumetric medical models in low performance devices. To achieve this, a new transfer-function aware compression/decompression mechanism adapted to transmission, reconstruction and visualization has been studied. This work proposes several schemes to exploit the use of transfer functions (TFs) to enhance volume compression during data transmission to mobile devices. As far as we know, this possibility has not been considered by any of the described approaches in the previous work. The Wavelet-Based Volume Compression for Remote Visualization approach is a TF-aware compression scheme. It supports inspection of complex volume models with maximum level of detail in selected regions of interest (ROIs). It uses a GPU-based, ROI-aware ray-casting rendering algorithm in the client, with a limited amount of information being sent over the Network, decreasing storage size in the client side. Regarding the Remote Exploration of Volume Models using Gradient Octrees scheme, we have shown that this technique can efficiently encode volume datasets. It supports high-quality visualizations with Transfer Functions from a predefined TFs set. In the present implementation, Transfer Function sets can encode up to ten different volume materials. Gradient Octrees are multi-resolution, supporting progressive transmission and avoiding gradient computations in the client device. That is, Gradient Octrees encodes precomputed gradients to save costly computations in the client, and support illumination-based ray-casting without extra computations in the client GPU. The proposed scheme presents a minimum loss of visual quality as compared to state of the art ray-casting renderings. The octree structure is compacted into a small volume array and a set of texture-coded arrays, with only one bit per octree node. The proposed scheme supports planar volume sections which are visualized with high-resolution volume information, besides interactive extrusion of specific structures. As a final contribution, a Hybrid ROI-based Visualization Algorithm has been proposed. It inherits the advantages of the previously described contributions while keeping a good performance in terms of bandwidth requirements and storage needs in client devices. The scheme is flexible enough to represent several materials and volume structures in the ROI area at high resolution with a very limited information transmission cost. The Hybrid approach has been proved to be specially well suited in the case of large models. Experimental results show that this Hybrid approach is a scalable scheme, with compression rates that decrease when the size of the volume model increases.
Los adelantos actuales en imagenes médicas están permitiendo a los especialistas obtener información cada vez más precisa de las estructuras anatómicas del organismo humano. Mediante la utilización de diferentes técnicas de visualización, los expertos pueden obtener imágenes de calidad para los huesos, tejidos blandos y torrente sanguíneo, entre otros. Los actuales algoritmos de procesamiento de imágenes garantizan el equilibrio entre la resolución y la exactitud de la información. Paralelamente, los médicos están más familiarizados con las estructuras tridimensionales reconstruidas a partir de imágenes en dos dimensiones. Por otro lado, los hospitales están incorporando la tele-medicina y el tele-diagnóstico entre sus soluciones técnicas. Las aplicaciones cliente-servidor permiten estas funcionalidades. En ocasiones el uso de dispositivos móviles es necesario debido a su fácil mantenimiento y a su portabilidad. Sin embargo, el tiempo de transmisión de la información volumétrica así como el bajo rendimiento del hardware en estos dispositivos, hacen que el diseño de sistemas eficientes de visualización sea todavía una tarea compleja. El objetivo principal de esta tesis es enriquecer la experiencia del usuario en la visualización interactiva de modelos volumétricos de medicina en dispositivos de bajo rendimiento. Para conseguir esto, se ha puesto en práctica la implementación de un mecanismo de compresión/descompresión que depende de funciones de transferencia para optimizar la transmisión, reconstrucción y la visualización en estos dispositivos. Esta tesis, por lo tanto, propone varios esquemas para aprovechar el uso de las funciones de transferencia (TFs) e incrementar el ratio de compresión del volumen durante la transmisión a los dispositivos móviles. De acuerdo con nuestros conocimientos, ninguna de las técnicas descritas en los trabajos presentados anteriormente ha considerado esta posibilidad. El esquema de compresión de volumen basado en Wavelets para la visualización remota, es una propuesta para compresión que tiene en cuenta la función de transferencia. Permite la inspección de modelos de volumen complejos con máximos niveles de detalles en regiones de interés seleccionados. El rendering ejecuta un ray-casting adaptado a modelos con regiones de interés orientado a la GPU en el cliente con una cantidad de información muy limitada que se envía por la red. La otra contribución de esta tesis es la implementación de un esquema para la exploración remota de modelos volumétricos mediante Gradient Octrees. Esta técnica codifica de manera eficiente datos de volumen mientras garantiza visualizaciones de alta calidad con funciones de transferencias predefinidas en un determinado conjunto. La actual implementación permite codificiar hasta 10 materiales diferentes en los datos de Volumen. Gradient Octrees es una técnica multi-resolución, permite la transmisión progresiva y evita los cálculos del gradiente en el dispositivo cliente. En efecto, esta aproximación codifica gradientes previamente calculados para reducir el coste de los cálculos en la GPU del cliente y garantizar el ray-casting con iluminación en la GPU del dispositivo. En comparación con las propuestas estudiadas la pérdida de la calidad visual en los Gradient Octrees es mínima. La estructura del octree es compacta, compuesta de un pequeño vector de volumen y un conjunto de vectores de texturas codificadas, que utilizan solo 1 bit por nodo del octree. El esquema soporta además secciones planas de volumen que contienen información de alta resolución, además de la extrusión de estructuras en los modelos visualizados
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Díaz, García Jesús. "Real-time quality visualization of medical models on commodity and mobile devices." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/586049.

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This thesis concerns the specific field of visualization of medical models using commodity and mobile devices. Mechanisms for medical imaging acquisition such as MRI, CT, and micro-CT scanners are continuously evolving, up to the point of obtaining volume datasets of large resolutions (> 512^3). As these datasets grow in resolution, its treatment and visualization become more and more expensive due to their computational requirements. For this reason, special techniques such as data pre-processing (filtering, construction of multi-resolution structures, etc.) and sophisticated algorithms have to be introduced in different points of the visualization pipeline to achieve the best visual quality without compromising performance times. The problem of managing big datasets comes from the fact that we have limited computational resources. Not long ago, the only physicians that were rendering volumes were radiologists. Nowadays, the outcome of diagnosis is the data itself, and medical doctors need to render them in commodity PCs (even patients may want to render the data, and the DVDs are commonly accompanied with a DICOM viewer software). Furthermore, with the increasing use of technology in daily clinical tasks, small devices such as mobile phones and tablets can fit the needs of medical doctors in some specific areas. Visualizing diagnosis images of patients becomes more challenging when it comes to using these devices instead of desktop computers, as they generally have more restrictive hardware specifications. The goal of this Ph.D. thesis is the real-time, quality visualization of medium to large medical volume datasets (resolutions >= 512^3 voxels) on mobile phones and commodity devices. To address this problem, we use multiresolution techniques that apply downsampling techniques on the full resolution datasets to produce coarser representations which are easier to handle. We have focused our efforts on the application of Volume Visualization in the clinical practice, so we have a particular interest in creating solutions that require short pre-processing times that quickly provide the specialists with the data outcome, maximize the preservation of features and the visual quality of the final images, achieve high frame rates that allow interactive visualizations, and make efficient use of the computational resources. The contributions achieved during this thesis comprise improvements in several stages of the visualization pipeline. The techniques we propose are located in the stages of multi-resolution generation, transfer function design and the GPU ray casting algorithm itself.
Esta tesis se centra en la visualización de modelos médicos de volumen en dispositivos móviles y de bajas prestaciones. Los sistemas médicos de captación tales como escáners MRI, CT y micro-CT, están en constante evolución, hasta el punto de obtener modelos de volumen de gran resolución (> 512^3). A medida que estos datos crecen en resolución, su manejo y visualización se vuelve más y más costoso debido a sus requisitos computacionales. Por este motivo, técnicas especiales como el pre-proceso de datos (filtrado, construcción de estructuras multiresolución, etc.) y algoritmos específicos se tienen que introducir en diferentes puntos de la pipeline de visualización para conseguir la mejor calidad visual posible sin comprometer el rendimiento. El problema que supone manejar grandes volumenes de datos es debido a que tenemos recursos computacionales limitados. Hace no mucho, las únicas personas en el ámbito médico que visualizaban datos de volumen eran los radiólogos. Hoy en día, el resultado de la diagnosis son los datos en sí, y los médicos necesitan renderizar estos datos en PCs de características modestas (incluso los pacientes pueden querer visualizar estos datos, pues los DVDs con los resultados suelen venir acompañados de un visor de imágenes DICOM). Además, con el reciente aumento del uso de las tecnologías en la clínica práctica habitual, dispositivos pequeños como teléfonos móviles o tablets son los más convenientes en algunos casos. La visualización de volumen es más difícil en este tipo de dispositivos que en equipos de sobremesa, pues las limitaciones de su hardware son superiores. El objetivo de esta tesis doctoral es la visualización de calidad en tiempo real de modelos grandes de volumen (resoluciones >= 512^3 voxels) en teléfonos móviles y dispositivos de bajas prestaciones. Para enfrentarnos a este problema, utilizamos técnicas multiresolución que aplican técnicas de reducción de datos a los modelos en resolución original, para así obtener modelos de menor resolución. Hemos centrado nuestros esfuerzos en la aplicación de la visualización de volumen en la práctica clínica, así que tenemos especial interés en diseñar soluciones que requieran cortos tiempos de pre-proceso para que los especialistas tengan rápidamente los resultados a su disposición. También, queremos maximizar la conservación de detalles de interés y la calidad de las imágenes finales, conseguir frame rates altos que faciliten visualizaciones interactivas y que hagan un uso eficiente de los recursos computacionales. Las contribuciones aportadas por esta tesis són mejoras en varias etapas de la pipeline de visualización. Las técnicas que proponemos se situan en las etapas de generación de la estructura multiresolución, el diseño de la función de transferencia y el algoritmo de ray casting en la GPU.
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Books on the topic "Mobile medical device"

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Agency, Medical Devices, and Health Estates, eds. Emergency service radios and mobile data terminals: Compatibility problems with medical devices. London: Medical Devices Agency, 1999.

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Agency, Medical Devices. Emergency service radios and mobile data terminals: Compatibility problems with medical devices. London: MDA, 1999.

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Agency, Medical Devices. Emergency service radios and mobile data terminals: Compatibility problems with medical devices : Northern Ireland version. Belfast: Health Estates, 1999.

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Lay-Ekuakille, Aimé. Wearable and Autonomous Biomedical Devices and Systems for Smart Environment: Issues and Characterization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010.

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Kuznecov, Sergey, and Konstantin Rogozin. All of physics on your palm. Interactive reference. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/501810.

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This is a unique visual book created by the best techniques of modern education. It presents the basic laws and formulas for all sections of physics with a huge number of interactive additions, explanations, illustrations, charts, graphs, tables, and drawings, allowing you to learn the material more efficiently. A clear and concise style of writing focuses the reader's attention in the target material, and numerous exercises, control questions and tasks allow you to securely fix in the memory the knowledge. Additional materials for all sections of General physics course available to You on the Internet in ABS Znanium.com. Using your mobile device, scan the QR code and get it on your smartphone or tablet access to comprehensive information throughout the course of physics in the media formats. In addition, on the YouTube channels "Salisylate and Isminimal from rocky" (from "the Russian Creative Internet") hosted a large number of additional training materials and videos used in this book. Interactive Handbook is intended for use in the educational activities of teachers and students of technical specialties of full-time and distance learning forms, as well as students of technical schools and secondary schools.
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Karlen, Walter. Mobile Point-Of-Care Monitors and Diagnostic Device Design. Taylor & Francis Group, 2018.

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Karlen, Walter. Mobile Point-Of-Care Monitors and Diagnostic Device Design. Taylor & Francis Group, 2018.

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Karlen, Walter. Mobile Point-Of-Care Monitors and Diagnostic Device Design. Taylor & Francis Group, 2014.

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Karlen, Walter. Mobile Point-Of-Care Monitors and Diagnostic Device Design. Taylor & Francis Group, 2018.

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Karlen, Walter. Mobile Point-Of-Care Monitors and Diagnostic Device Design. Taylor & Francis Group, 2018.

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Book chapters on the topic "Mobile medical device"

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Patronik, Nicholas A., Marco A. Zenati, and Cameron N. Riviere. "Crawling on the Heart: A Mobile Robotic Device for Minimally Invasive Cardiac Interventions." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004, 9–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30136-3_2.

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Spat, Stephan, Bernhard Höll, Peter Beck, Franco Chiarurgi, Vasilis Kontogiannis, Manolis Spanakis, Dimitris Manousos, and Thomas R. Pieber. "A Mobile Android-Based Application for In-hospital Glucose Management in Compliance with the Medical Device Directive for Software." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 211–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29734-2_29.

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Pournaghshband, Vahab, Majid Sarrafzadeh, and Peter Reiher. "Securing Legacy Mobile Medical Devices." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 163–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37893-5_19.

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Bassen, Howard I. "RF interference (RFI) of medical devices by mobile communications transmitters." In Mobile Communications Safety, 65–94. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4613-1205-5_3.

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Curiel, Mariela, and Leonardo Flórez-Valencia. "Challenges in Processing Medical Images in Mobile Devices." In Trends and Advancements of Image Processing and Its Applications, 31–51. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75945-2_2.

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Zheng, Zejia, Zhu Li, and Abhishek Nagar. "Compact Deep Neural Networks for Device-Based Image Classification." In Mobile Cloud Visual Media Computing, 201–17. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24702-1_8.

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Stephens, Keri, Emily Norman, and Jiayu Sun. "Stop Co-opting Personal Mobile Devices for Organizational Use." In The Mobile Media Debate, 84–96. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003312963-9.

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Shoaib, Mohammed, Swagath Venkataramani, Xian-Sheng Hua, Jie Liu, and Jin Li. "Exploiting On-Device Image Classification for Energy Efficiency in Ambient-Aware Systems." In Mobile Cloud Visual Media Computing, 167–99. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24702-1_7.

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Ham, Christopher, Simon Lucey, and Surya Singh. "Absolute Scale Estimation of 3D Monocular Vision on Smart Devices." In Mobile Cloud Visual Media Computing, 329–53. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24702-1_14.

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Schaefer, Gerald, Matthew Tallyn, Daniel Felton, David Edmundson, and William Plant. "Interactive Exploration of Image Collections on Mobile Devices." In Active Media Technology, 288–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35236-2_29.

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Conference papers on the topic "Mobile medical device"

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Pournaghshband, Vahab, and Peter Reiher. "Protecting Legacy Mobile Medical Devices Using A Wearable Security Device." In 9th International Conference on Advances in Computing and Information Technology. Aircc Publishing Corporation, 2019. http://dx.doi.org/10.5121/csit.2019.91716.

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Balim, Mustafa Alper, and Nurettin Acir. "8 Channel Mobile EEG Measurement Device Design." In 2018 Medical Technologies National Congress (TIPTEKNO). IEEE, 2018. http://dx.doi.org/10.1109/tiptekno.2018.8596959.

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Easttom, Chuek, and Nagi Mei. "Mitigating Implanted Medical Device Cybersecurity Risks." In 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE, 2019. http://dx.doi.org/10.1109/uemcon47517.2019.8992922.

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Martinez, Jon B. "Medical Device Security in the IoT Age." In 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE, 2018. http://dx.doi.org/10.1109/uemcon.2018.8796531.

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Rathore, Heena, Abdulla Al-Ali, Amr Mohamed, Xiaojiang Du, and Mohsen Guizani. "DTW based Authentication for Wireless Medical Device Security." In 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC). IEEE, 2018. http://dx.doi.org/10.1109/iwcmc.2018.8450419.

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Seung-wook Yang, Hee-chul Yoon, Jeong Cho, Sang-bum Kye, and Tai-kyong Song. "A mobile medical device for point-of-care applications." In 2008 IEEE Ultrasonics Symposium (IUS). IEEE, 2008. http://dx.doi.org/10.1109/ultsym.2008.0326.

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Garfield, M. Robert, and Alex Dupont. "Augmented Reality Aided Medical Device Design." In 2019 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dmd2019-3215.

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Blurring the line between the physical and digital environment, augmented reality (AR) is the next frontier for medical device design. It is particularly useful as a means for rapid concept visualization and iterative refinement. By selectively mixing AR and physical prototypes, designers can conduct haptic evaluation alongside visual assessment. The integration of AR and traditional tools during development continues the practice of advancing design methods in parallel with technology. This paper explains the design of a mobile medical device/workstation using an AR aided medical device design process from an industry perspective. This case study demonstrates the viability and benefits of an AR aided design process pairing off-the-shelf AR technology with physical models of increasing fidelity. AR aided medical device design helps design teams accelerate development, lower prototyping costs, assess scaled designs earlier, illustrate contextual constraints, and reduce development risk.
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He, Longjun, Xing Ming, Lang Xu, and Qian Liu. "A service protocol for post-processing of medical images on the mobile device." In SPIE Medical Imaging, edited by Maria Y. Law and Tessa S. Cook. SPIE, 2014. http://dx.doi.org/10.1117/12.2043358.

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Bedir, Oguz, and Elif Hocaoglu. "A Preliminary Study: Mobile Device for Hand and Wrist Rehabilitation." In 2018 Medical Technologies National Congress (TIPTEKNO). IEEE, 2018. http://dx.doi.org/10.1109/tiptekno.2018.8597097.

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Taylor, Kai, Alexandra Smith, Adam Zimmel, Korina Alcantara, and Yong Wang. "Medical Device Security Regulations and Assessment Case Studies." In 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS). IEEE, 2022. http://dx.doi.org/10.1109/mass56207.2022.00116.

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Reports on the topic "Mobile medical device"

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Chaparadza, Diana. An Analysis of Patient-Generated Health Data in Assisting Nurses and Physicians to Better Treat Patients with Hypertension. University of Tennessee Health Science Center, November 2020. http://dx.doi.org/10.21007/chp.hiim.0080.

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Patient Generated Health Data (PGHD is not new but it has gained more attention these past years due to the advent of smart devices, remote monitoring devices and many applications on various smart devices. PGHD reflects medications and treatment, lifestyle choices, and health history. Unlike traditional medical visits, where clinicians collect and manage data within their offices, PGHD is collected by patients throughout the course of their day and provides an insight of how they are responding to treatments or lifestyle choices. Examples include blood glucose monitoring or blood pressure readings using home health equipment, exercise and diet tracking using mobile applications or wearable devices such as the Fitbit or other smart watches.
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Richardson, Allissa V. Trends in Mobile Journalism: Bearing Witness, Building Movements, and Crafting Counternarratives. Just Tech, Social Science Research Council, November 2021. http://dx.doi.org/10.35650/jt.3010.d.2021.

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This field review examines how African American mobile journalism became a model for marginalized people’s political communication across the United States. The review explores how communication scholars’ theories about mobile journalism and media witnessing evolved since 2010 to include ethnocentric investigations of the genre. Additionally, it demonstrates how Black people’s use of the mobile device to document police brutality provided a brilliant, yet fraught, template for modern activism. Finally, it shows how Black mobile journalism created undeniable counternarratives that challenged the journalism industry in 2020 and presented scholars with a wealth of researchable questions. Taken together, the review complicates our understanding of Black mobile journalism as a great equalizer—pushing us to also consider what we lose when we lean too heavily on video testimony as a tool for political communication.
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Rathinam, Francis, P. Thissen, and M. Gaarder. Using big data for impact evaluations. Centre of Excellence for Development Impact and Learning (CEDIL), February 2021. http://dx.doi.org/10.51744/cmb2.

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The amount of big data available has exploded with recent innovations in satellites, sensors, mobile devices, call detail records, social media applications, and digital business records. Big data offers great potential for examining whether programmes and policies work, particularly in contexts where traditional methods of data collection are challenging. During pandemics, conflicts, and humanitarian emergency situations, data collection can be challenging or even impossible. This CEDIL Methods Brief takes a step-by-step, practical approach to guide researchers designing impact evaluations based on big data. This brief is based on the CEDIL Methods Working Paper on ‘Using big data for evaluating development outcomes: a systematic map’.
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Kiv, Arnold E., Vladyslav V. Bilous, Dmytro M. Bodnenko, Dmytro V. Horbatovskyi, Oksana S. Lytvyn, and Volodymyr V. Proshkin. The development and use of mobile app AR Physics in physics teaching at the university. [б. в.], July 2021. http://dx.doi.org/10.31812/123456789/4629.

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This paper outlines the importance of using Augmented Reality (AR) in physics education at the university as a valuable tool for visualization and increasing the attention and motivation of students to study, solving educational problems related to future professional activities, improving the interaction of teachers and students. Provided an analysis of the types of AR technology and software for developing AR apps. The sequences of actions for developing the mobile application AR Physics in the study of topics: “Direct electronic current”, “Fundamentals of the theory of electronic circuits”. The software tools for mobile application development (Android Studio, SDK, NDK, Google Sceneform, 3Ds MAX, Core Animation, Asset Media Recorder, Ashampoo Music Studio, Google Translate Plugin) are described. The bank of 3D models of elements of electrical circuits (sources of current, consumers, measuring devices, conductors) is created. Because of the students’ and teachers’ surveys, the advantages and disadvantages of using AR in the teaching process are discussed. Mann-Whitney U-test proved the effectiveness of the use of AR for laboratory works in physics by students majoring in “Mathematics”, “Computer Science”, and “Cybersecurity”.
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Oleksiuk, Vasyl P., and Olesia R. Oleksiuk. Exploring the potential of augmented reality for teaching school computer science. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4404.

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The article analyzes the phenomenon of augmented reality (AR) in education. AR is a new technology that complements the real world with the help of computer data. Such content is tied to specific locations or activities. Over the last few years, AR applications have become available on mobile devices. AR becomes available in the media (news, entertainment, sports). It is starting to enter other areas of life (such as e-commerce, travel, marketing). But education has the biggest impact on AR. Based on the analysis of scientific publications, the authors explored the possibilities of using augmented reality in education. They identified means of augmented reality for teaching computer science at school. Such programs and services allow students to observe the operation of computer systems when changing their parameters. Students can also modify computer hardware for augmented reality objects and visualize algorithms and data processes. The article describes the content of author training for practicing teachers. At this event, some applications for training in AR technology were considered. The possibilities of working with augmented reality objects in computer science training are singled out. It is shown that the use of augmented reality provides an opportunity to increase the realism of research; provides emotional and cognitive experience. This all contributes to engaging students in systematic learning; creates new opportunities for collaborative learning, develops new representations of real objects.
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O’Brien, Tom, Deanna Matsumoto, Diana Sanchez, Caitlin Mace, Elizabeth Warren, Eleni Hala, and Tyler Reeb. Southern California Regional Workforce Development Needs Assessment for the Transportation and Supply Chain Industry Sectors. Mineta Transportation Institute, October 2020. http://dx.doi.org/10.31979/mti.2020.1921.

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COVID-19 brought the public’s attention to the critical value of transportation and supply chain workers as lifelines to access food and other supplies. This report examines essential job skills required of the middle-skill workforce (workers with more than a high school degree, but less than a four-year college degree). Many of these middle-skill transportation and supply chain jobs are what the Federal Reserve Bank defines as “opportunity occupations” -- jobs that pay above median wages and can be accessible to those without a four-year college degree. This report lays out the complex landscape of selected technological disruptions of the supply chain to understand the new workforce needs of these middle-skill workers, followed by competencies identified by industry. With workplace social distancing policies, logistics organizations now rely heavily on data management and analysis for their operations. All rungs of employees, including warehouse workers and truck drivers, require digital skills to use mobile devices, sensors, and dashboards, among other applications. Workforce training requires a focus on data, problem solving, connectivity, and collaboration. Industry partners identified key workforce competencies required in digital literacy, data management, front/back office jobs, and in operations and maintenance. Education and training providers identified strategies to effectively develop workforce development programs. This report concludes with an exploration of the role of Institutes of Higher Education in delivering effective workforce education and training programs that reimagine how to frame programs to be customizable, easily accessible, and relevant.
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