Wireless Body Region Networks Abnormality Identification And Energy Saving A Study
Saif Mohamed Baraa Al-Sabti, Alaa Amjed Abdulateef, Doğu Çağdaş Atilla, Alaa Hamid Mohammed
Abstract
Current advances in wireless body networking technologies help to escape any of the healthcare industry-related problems. Wearable biomedical devices and their related innovations are in vogue lately, with constant health surveillance being mandatory for many chronic patients. Energy conservation is critical in wireless body area networks (WBANs) since the sensor nodes are energy constraint devices. Energy conservation through data reduction approaches in WBANs is a comparatively less explored area in which the detection of probabilistic anomaly models is becoming inevitable for the prevention of serious health problems. This paper reviews wireless body area networks for anomaly detection in various applications and discusses how models can be made for the energy conservation of WBAN devices.