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http://dx.doi.org/10.6109/JKIICE.2009.13.5.1008

Multimodal Biological Signal Analysis System Based on USN Sensing System  

Noh, Jin-Soo (순천대학교(WCU))
Song, Byoung-Go (조선대학교)
Bae, Sang-Hyun (조선대학교)
Abstract
In this paper, we proposed the biological signal (body heat, pulse, breathe rate, and blood pressure) analysis system using wireless sensor. In order to analyze, we designed a back-propagation neural network system using expert group system. The proposed system is consist of hardware patt such as UStar-2400 ISP and Wireless sensor and software part such as Knowledge Base module, Inference Engine module and User Interface module which is inserted in Host PC. To improve the accuracy of the system, we implement a FEC (Forward Error Correction) block. For conducting simulation, we chose 100 data sets from Knowledge Base module to train the neural network. As a result, we obtained about 95% accuracy using 128 data sets from Knowledge Base module and acquired about 85% accuracy which experiments 13 students using wireless sensor.
Keywords
Biological signal; wireless sensor; Ubiquitous; neural network;
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