Abstract
Smart health care is an important aspect of connected living. Health care is one of the basic pillars of human need, and smart health care is projected to produce several billion dollars in revenue in the near future. There are several components of smart health care, including the Internet of Things (IoT), the Internet of Medical Things (IoMT), medical sensors, artificial intelligence (AI), edge computing, cloud computing, and next-generation wireless communication technology. Many papers in the literature deal with smart health care or health care in general. Here, we present a comprehensive survey of IoT- and IoMT-based edge-intelligent smart health care, mainly focusing on journal articles published between 2014 and 2020. We survey this literature by answering several research areas on IoT and IoMT, AI, edge and cloud computing, security, and medical signals fusion. We also address current research challenges and offer some future research directions.
Highlights
The rising number of chronic patients and the aging of the population render the avoidance of diseases an important requirement of healthcare
We present a detailed survey of Internet of Things (IoT)- and Internet of Medical Things (IoMT)-based smart health care systems
The proposed method was tested on a publicly available dataset called UTD-MHAD, and the results showed an improvement in overall classification rate (> 97%) compared to using each sensor separately
Summary
The rising number of chronic patients and the aging of the population render the avoidance of diseases an important requirement of healthcare. Prevention is defined by regular exercise, nutrition, and periodic preventive controls as a way to sustain a healthier environment and as a method of keeping serious conditions from becoming worse. The future health sector must tackle an increasing number of chronic problems and the scarcity of treatments to satisfy patient demands [1]. COVID-19 has recently highlighted the importance of quick, comprehensive, and accurate eHealthcare and intelligent healthcare involving different types of medical and physiological data to diagnose the virus. The use of emerging technology in protective policies and behavioral systems can help identify potential health conditions early and enable the scheduling of appropriate steps, such as concurrently monitoring treatments and preparing new assessments. The world’s smart health market is forecast to reach USD 143.6 billion in 2019, which will expand by an average growth rate of 16.2% between 2020 and 2027 [2]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
