Abstract
This study presents multiple physiological signals collection and analysis processing based on neural network methods and evidence theory using wireless XBee devices for transmission between the host computer and sink sensors node. This study proposes a hospital guardianship and remote care medical system based on a wireless sensor network framework using optimal data fusion based on evidence theory. Because the global population is ageing with a limited number of medical professionals, reduced medical service has resulted from mistaken government medical policies. This research aims to reduce the hardware cost and enhance system efficiency and security using multi-physiology signals fusion. Medical supplies, wisdom, simplification, non-invasiveness and personalized development are the focus in this study. This remote medical care system involves the standard electrocardiogram, blood pressure, pulse, eye-movement measurement module, ZigBee transmission module that combines the signal acquisition card DAQ and LabVIEW system.
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