Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4958061 | Computer Methods and Programs in Biomedicine | 2017 | 28 Pages |
Abstract
The resulting system is able to detect and classify different stress stages only based on two non invasive signals. These signals can be collected in people during their monitoring and be processed in a real-time sense, as the system can be previously preconfigured. Therefore, it could easily be implemented in a wearable prototype that could be worn by end users without feeling to be monitored. Besides, due to its low computational, the computation of the signals slopes is easy to do and its deployment in real-time applications is feasible.
Keywords
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
R. Martinez, E. Irigoyen, A. Arruti, J.I. Martin, J. Muguerza,