Smartphone Sensors for Health Monitoring and Diagnosis.
Sumit Majumder,M. Jamal Deen +1 more
TLDR
A comprehensive review of the state-of-the-art research and developments in smartphone-sensor based healthcare technologies is presented and a discussion on regulatory policies for medical devices and their implications in smartphones-based healthcare systems is presented.Abstract:
Over the past few decades, we have witnessed a dramatic rise in life expectancy owing to significant advances in medical science and technology, medicine as well as increased awareness about nutrition, education, and environmental and personal hygiene. Consequently, the elderly population in many countries are expected to rise rapidly in the coming years. A rapidly rising elderly demographics is expected to adversely affect the socioeconomic systems of many nations in terms of costs associated with their healthcare and wellbeing. In addition, diseases related to the cardiovascular system, eye, respiratory system, skin and mental health are widespread globally. However, most of these diseases can be avoided and/or properly managed through continuous monitoring. In order to enable continuous health monitoring as well as to serve growing healthcare needs; affordable, non-invasive and easy-to-use healthcare solutions are critical. The ever-increasing penetration of smartphones, coupled with embedded sensors and modern communication technologies, make it an attractive technology for enabling continuous and remote monitoring of an individual’s health and wellbeing with negligible additional costs. In this paper, we present a comprehensive review of the state-of-the-art research and developments in smartphone-sensor based healthcare technologies. A discussion on regulatory policies for medical devices and their implications in smartphone-based healthcare systems is presented. Finally, some future research perspectives and concerns regarding smartphone-based healthcare systems are described.read more
Citations
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Telemedicine as the New Outpatient Clinic Gone Digital: Position Paper From the Pandemic Health System REsilience PROGRAM (REPROGRAM) International Consortium (Part 2)
Sonu Bhaskar,Sian Bradley,Vijay Kumar Chattu,Vijay Kumar Chattu,Anil Adisesh,Anil Adisesh,Alma Nurtazina,Saltanat Kyrykbayeva,Sateesh Sakhamuri,Sebastian Moguilner,Shawna Pandya,Starr Schroeder,Maciej Banach,Daniel Ray +13 more
TL;DR: The current consortium provides a roadmap and/or framework, along with recommendations, for telemedicine uptake and implementation in clinical practice during and beyond COVID-19, and offers an opportunity to improve health systems delivery, access, and efficiency.
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Metal–organic frameworks for chemical sensing devices
Joseph F. Olorunyomi,Joseph F. Olorunyomi,Shu Teng Geh,Shu Teng Geh,Rachel A. Caruso,Cara M. Doherty +5 more
TL;DR: In this paper, a review examines studies since 2015 that focus on the applications of metal-organic frameworks and devices in chemical sensing, including solid-state sensing applications, based on electronic, electrochemical, electromechanical and optical sensing methods.
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Monitoring Methods of Human Body Joints: State-of-the-Art and Research Challenges.
TL;DR: This study has presented and compared different joint monitoring methods and sensing technologies recently reported, and current research focus, as well as future prospects and development challenges in joint monitoring systems are discussed.
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Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective.
TL;DR: This paper proposes a model based on the AI and big data analytics for m-health, and findings of this paper will guide the development of techniques using the combination of AI and the big data as source for handling m- health data more effectively.
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Artificial Intelligence in Medical Sensors for Clinical Decisions
Hossam Haick,Ning Tang +1 more
TL;DR: In this paper, a brief overview on the integration of nanotechnology-based medical sensors and artificial intelligence (AI) for advanced clinical decision support systems to help decision-makers and healthcare systems improve how they approach information, insights, and the surrounding contexts, as well as to promote the uptake of personalized medicine on an individualized basis.
References
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