Internet of Things (IoT) for cardiac patients: A comparative study
Helmy, Salma Mostafa A.; Alfonse, Marco; Amar, Ayman Mahmoud; El-Sayed M. El-Horbaty;
Abstract
The internet of things (IoT) had a variety of uses, namely smart homes, smart cities, wearables, smart grid, self-driven cars, IoT retail-shops, farming, industrial internet, smart supply chain management, and the health care. The IoT's boom is altering the existing healthcare state with thrilling technological, economical, and social implications. The dilemma of an increasing number of patients with heart diseases and a limited number of caregivers is that each caregiver must care for multiple patients, causing stress for caregivers and suffering for patients. Therefore, we designed a comparative study (network designs/programs, appliances, and industry trends) in IoT-established healthcare results. The development of IoT-based health care technology especially cardiac patients was also considered. Additionally, the underlying mechanism of the fluctuation effects of IoT modern advances on cardiac patients were elucidated throughout the key articles in the last 3 years. Our results proved that the secluded health checking system using IoT, especially for Cardiac patients, improved the health care process. This process is a nonstop scrutinizing and control equipment to monitor the patient's conditions. It also affected by the number and type of sensors used, and it could save the patient's information on a server, meanwhile, the authorized personnel may access the data using any IoT platform. Most importantly, doctors can continuously monitor the patient from afar and predict the diseases based on the values obtained.
Other data
Title | Internet of Things (IoT) for cardiac patients: A comparative study | Authors | Helmy, Salma Mostafa A.; Alfonse, Marco ; Amar, Ayman Mahmoud; El-Sayed M. El-Horbaty | Keywords | cardiac;functions;healthcare;Internet of Things;manifestos | Issue Date | 1-Jan-2021 | Publisher | IEEE | Conference | 2021 Tenth International Conference on Intelligent Computing and Information Systems (ICICIS) | ISBN | 9781665440769 | DOI | 10.1109/ICICIS52592.2021.9694181 | Scopus ID | 2-s2.0-85127039381 |
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