Kohonen Neural Network Stress Detection Using Only Electrodermal Activity Features

Advances in Electrical and Computer Engineering

BORNOIU, I.-V. ; GRIGORE, O..

关键词: biomedical signal processing;    data analysis;    electrophysiology;    pattern recognition;    self organizing feature maps;   

DOI  :  10.4316/AECE.2014.03009

学科分类：计算机科学（综合）

来源: Universitatea "Stefan cel Mare" din Suceava

【 摘 要 】

This paper presents a method for identifying human stress levels by using a Kohonen neural network. The study focuses on differentiating between a relaxed and a stressed state and it presents a series of parameters (skin conductance response signal power, skin conductance response signal frequency, skin conductance level gradient, response rise time and response amplitude) extracted only from the electrodermal activity signal. A very strict recording protocol was used to minimize the artifacts caused by the bad connection between electrodes and skin. A stress inducing method is presented that can be used to replicate results in laboratory conditions.

【 授权许可】

Unknown