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Fuzzy Logic based Health Care System using Wireless Body Area Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 80 - Number 12 |
| Year of Publication: 2013 |
| Authors: Prakashgoud Patil, Samina Mohsin |
10.5120/13917-1881
|
Prakashgoud Patil, Samina Mohsin . Fuzzy Logic based Health Care System using Wireless Body Area Network. International Journal of Computer Applications. 80, 12 ( October 2013), 46-51. DOI=10.5120/13917-1881
Abstract
Wireless Sensor Networks (WSN) offers proficient communication solution to the ever-present healthcare systems. The miniaturized sensors together with advance micro-electro-mechanical systems (MEMS) technology create a body sensor network (BSN) that continuously monitors the health condition of patients. Some of the other applications where WSN can be used are military, interactive entertainment, and portable audio/video systems. The proposed system for measuring health parameters of patient consists of temperature and pulse sensor connected to base station through a microcontroller and allowing device to be controlled and monitored by remote computer. Wireless sensor network system continuously monitors pulse and temperature of patients at remote or in hospital. A wearable wireless sensor system is designed to continuously capture and transmit the bio-signals to the Doctor / Patient mobile phone. In case of emergency alert will be issued to doctors, relatives, and ambulance in the form of Short Message Services (SMS). Doctor can also provide remote prescription for the patients. Data stored at database is passed to fuzzy logic controller to improve accuracy and amount of data to be sent to the remote user. As the data read from sensor are imprecise / crisp here we design a Fuzzy logic controller (FLC), which is one of component in our computing prototype health status. The FLC system receives context information from sensor as input (which is in crisp form) and the fuzzification module converts input into fuzzy linguistic variable and output is sent to Patient / Doctor which can be easily understood by common person.
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