Measuring electrodermal activity to determining sympathetic activity in sportsman and feature extraction with signal processing methods Sporcularda sempatik aktivitenin belirlenmesinde elektrodermal aktivitenin ölçülmesi ve sinyal işleme yöntemleriyle sinyal karakteristiklerinin çikarilmasi


Aladag S., GÜVEN A., Dolu N., Ozbek H.

2016 Medical Technologies National Conference, TIPTEKNO 2016, Antalya, Turkey, 27 - 29 October 2016 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/tiptekno.2016.7863073
  • City: Antalya
  • Country: Turkey
  • Keywords: denoising methods, feature extraction, signal processing, statistical comparison
  • Istanbul Medipol University Affiliated: No

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.