Open AccessSurvey on Fault Detection and Diagnosis Using Neural Network in WBAN
Author(s) -
R. Kalpana,
P.Nallathai
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.20.16731
Subject(s) - body area network , computer science , artificial neural network , wireless sensor network , fault detection and isolation , computer network , real time computing , embedded system , artificial intelligence , actuator
Wireless Body Area Networks (WBAN) is the sensor network used for monitoring health information in e-health systems. WBAN is a combination of sensors used to obtain vital information from the body. It is a special type of WSN. WBAN technology should handle the data in a smart way by reacting to the monitored data and to evaluate the data. It requires fault detection and diagnosis methods for sensors used in WBAN. This paper gives a survey of different types of neural-network approaches for faults detection and diagnosis in WBAN using neural network.