Quantification of Human Stress Using Commercially Available Single Channel EEG Headset

• MUHAMMAD UMAR SAEED Sanay

  Department of Computer Engineering, University of Engineering and Technology

• MUHAMMAD ANWAR Syed

  Department of Software Engineering, University of Engineering and Technology

• MAJID Muhammad

  Department of Computer Engineering, University of Engineering and Technology

抄録

A study on quantification of human stress using low beta waves of electroencephalography (EEG) is presented. For the very first time the importance of low beta waves as a feature for quantification of human stress is highlighted. In this study, there were twenty-eight participants who filled the Perceived Stress Scale (PSS) questionnaire and recorded their EEG in closed eye condition by using a commercially available single channel EEG headset placed at frontal site. On the regression analysis of beta waves extracted from recorded EEG, it has been observed that low beta waves can predict PSS scores with a confidence level of 94%. Consequently, when low beta wave is used as a feature with the Naive Bayes algorithm for classification of stress level, it not only reduces the computational cost by 7 folds but also improves the accuracy to 71.4%.

収録刊行物

• IEICE Transactions on Information and Systems

  IEICE Transactions on Information and Systems E100.D (9), 2241-2244, 2017

  一般社団法人 電子情報通信学会

キーワード

• wearable headset
• electroencephalography
• chronic stress
• regression
• classification

詳細情報

• CRID: 1390282679355461504
• NII論文ID: 130006038504
• DOI: 10.1587/transinf.2016edl8248
• ISSN: 17451361
• ISSN: 09168532
• Web Site: https://www.jstage.jst.go.jp/article/transinf/E100.D/9/E100.D_2016EDL8248/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可