Evaluation of heartbeat evoked potential during mental stress task: feasibility and complexity

カテゴリ: 研究会(論文単位)

論文No: MBE25020

グループ名: 【C】電子・情報・システム部門 医用・生体工学研究会

発行日: 2025/03/16

タイトル(英語): Evaluation of heartbeat evoked potential during mental stress task: feasibility and complexity

著者名: Pungus Jeremia Imanuel Gesha(Shibaura Institute of Technology),Kojima Simon(Shibaura Institute of Technology),Kanoh Shin'ichiro(Shibaura Institute of Technology)

著者名(英語): Jeremia Imanuel Gesha Pungus(Shibaura Institute of Technology),Simon Kojima(Shibaura Institute of Technology),Shin'ichiro Kanoh(Shibaura Institute of Technology)

キーワード: heartbeat evoked potential|EEG|ECG|mental stress|pattern classification|heartbeat evoked potential|EEG|ECG|mental stress|pattern classification

要約(日本語): Mental stress has been extensively studied, with physiological signal analysis being a key approach. Heartbeat　evoked potential (HEP), brain signals time-locked to the heartbeat, have been shown to assess mental stress effectively. This study compares the

要約(英語): Mental stress has been extensively studied, with physiological signal analysis being a key approach. Heartbeat　evoked potential (HEP), brain signals time-locked to the heartbeat, have been shown to assess mental stress effectively. This study compares the performance of HEP with absolute power (EEG power spectral features), evaluating whether its added complexity offers significant advantages. The results demonstrate that HEP provides data samples over four times greater than absolute power. While absolute power achieves higher classification accuracy (up to 0.99), HEP achieves reasonable scores (0.72?0.89) with minimal pre-processing. These findings highlight HEP's prospects for stress assessment, particularly with improved pre-processing techniques.

本誌: 2025年3月19日医用・生体工学研究会

本誌掲載ページ: 25-29 p

原稿種別: 英語

PDFファイルサイズ: 1,535 Kバイト