Biological Data Tracing and Pattern Recognition in Real-Time

被引：0
|
作者：
Scherz, W. D. [1 ]
Soria Morillo, L. M. [2 ]
Seepold, R. [1 ]
机构：
[1] Univ Appl Sci, Dept Comp Sci, Constance, Germany
[2] Univ Seville, Comp Languages & Syst Dept, Seville, Spain
来源：
XIV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING 2016 | 2016年 / 57卷
关键词：
ECG; stress detection; e-health; bio signals; ubiquitous computing; SOCIAL STRESS TEST; RESPONSES;
D O I：
10.1007/978-3-319-32703-7_218
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Stress is a recognized as a predominant disease with growing costs of treatment. The approach presented here is aimed to detect stress using a light weighted, mobile, cheap and easy to use system. The result shows that stress can be detected even in case a person's natural bio vital data is out of the main range. The system enables storage of measured data, while maintaining communication channels of online and postprocessing.
引用
收藏
页码：1113 / 1118
页数：6
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