| Issue |
MATEC Web Conf.
Volume 128, 2017
2017 International Conference on Electronic Information Technology and Computer Engineering (EITCE 2017)
|
|
|---|---|---|
| Article Number | 04020 | |
| Number of page(s) | 4 | |
| Section | Computer Programming | |
| DOI | https://doi.org/10.1051/matecconf/201712804020 | |
| Published online | 25 October 2017 | |
Research on Test System for Disease Aided Diagnosis
School of Electrical Engineering and Intelligentization, Dongguan University of Technology, 523808 Dongguan, Guangdong Province, P.R.China
a Corresponding author: grace_chen@163.com
A real-time multi parameter acquisition system is designed in this paper. Sensors collect physiological parameter data. The parameters are transmitted to the main processor module via a wireless sensor network. The main processor processes the data. The results reflect the current physiological condition of the monitored person.If the physiological condition is abnormal, alarm measures will be initiated to inform the monitor. Wavelet analysis method is used to denoise data. The wavelet transform and least squares support vector machines are used to predict the information, and the model is corrected by the statistical results of the measured data. Experiments show that the modified method is effective.
© The authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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