… healthy and out of hospitals. Moreover, patients can be discharged from hospitals earlier and monitored at home. It primarily means removing boundaries between hospitals, homes, …
… Smarthospitals have exploited the development of the Internet of Things (IoT) sensors to create Remote Patients monitoring (RPM) models that observe patients at their homes. RPM is …
… edgecomputing. A deep learning method for epileptic seizure detection using mobile edge computing … A three tier architecture with an edge layer between the end device and the cloud …
… The organization of the presented work is outlined as follows: Section two provides a comprehensive review of the literature about edgecomputing in healthcare. In the third section, the …
… Our goal is to bridge the gap between edgecomputing and linked healthcare solutions by participating in a discussion of the difficulties that may arise in the future and by conducting an …
B Debnath, A Das, A Das, RR Chowdhury… - … , and diagnosis from …, 2021 - taylorfrancis.com
… a useful tool for hospital, nursing homes and … Edgecomputing-based smart health monitoring system for COVID-19 patients. The system utilizes wearable sensors and edgecomputing …
S Zhang, Y Tang, D Wang, N Karia, C Wang - Journal of Grid Computing, 2023 - Springer
… Mobile edgecomputing (MEC) must be used to analyze the HMS … ’s smart wearable devices. The process can determine whether a job must be completed domestically at the hospital …
… related to IoT, fog, edge, and cloud computing, and we present a … concepts like the Fog computing, Edgecomputing, CPS, and IoT. … of cloud computing, fog computing, edgecomputing, …
T Han, L Zhang, S Pirbhulal, W Wu… - Computer Networks, 2019 - Elsevier
… Edge-computing plays a significant role for remote healthcare systems in recent times since hospitals … One of the primary concern of edge-computing based IoMT systems includes …