Measuring electrodermal activity to determining sympathetic activity in sportsman and feature extraction with signal processing methods

Abstract

Our study aimed to determine hemispheric differences using Galvanic Skin Response (GSR) which is measure to emotional sweating with signal processing and feature extraction methods. Active sportsmans (n=17) and non-sportsmans (n=21) who are student at university have been used in this study. The average of ages is 20±0.4. We worked on GSR records which have been denoise with signal processing method and include pure information. We applied feature extraction function to GSR signals and we compared from feature vector. Feature vector has 14 parameters. We chose parameters which are making difference. Acording to findings from group of volunteers which are sportsman, doing sport improves both of hemisphere.