Open AccessA Review on Compressive Sensing for Distributed Signal Processing in WBAN
Author(s) -
Ashwini S Chiwarkar,
K. B. Khanchandani
Publication year - 2021
Publication title -
smart moves journal ijoscience
Language(s) - English
Resource type - Journals
ISSN - 2582-4600
DOI - 10.24113/ijoscience.v7i7.397
Subject(s) - matching pursuit , compressed sensing , wireless , computer science , body area network , power consumption , matching (statistics) , cover (algebra) , real time computing , power (physics) , artificial intelligence , medicine , telecommunications , engineering , mechanical engineering , physics , pathology , quantum mechanics
Wireless networks of the body (WBANs) that support healthcare applications are in the early stages of development but make valuable contributions to surveillance, diagnostics or therapy. They cover real-time medical information acquisition from various sensors with secure data communication and low power consumption. WBANs promises discreet outpatient medical monitoring over a long period of time and inform the physician in real-time about the patient's condition. They are widely used for ubiquitous healthcare, entertainment, and military applications. This article presents distributed wireless networks and describes the search for Orthogonal Matching Pursuit (OMP), Basis Pursuit (BP), Least Mean Square Technique (LMS), and Normalized Least Mean Square Technique (NLMS).