Ensembling EEG bands for Mental State Assessment

Wei Ting Yen, Yun Jie Zhang, Kuo Hsuan Chung, Linen Lin, Yue Shan Chang

研究成果: 書貢獻/報告類型會議貢獻

摘要

The assessment of mental status is an important task in psychiatry. But the impact of the COVID-19 epidemic has reduced the number of face-to-face assessments with physicians, and thus making it difficult. In recent years, some studies have used EEG (electroencephalogram) to help assess depression or mental state. Users can thus further assess mental state through simple EEG measurement. Since the EEG measurement will obtain multiple frequency bands related to mental or emotion state, if only one frequency band is used to evaluate a specific emotion or mental state, it may be insufficient. Some studies have proposed an ensemble method of multiple frequency bands for emotion recognition. In this study, we will use ensemble multi-bands EEG frequency to do and assist mental state or depression assessment. Through the method of ensemble learning, we integrate the frequency bands which is mainly related to mental state to assist the evaluation of mental state. From the experimental results, we can find that this method has a good effect.
原文英語
主出版物標題ICSSE 2022 - 2022 International Conference on System Science and Engineering
發行者Institute of Electrical and Electronics Engineers Inc.
頁面100-103
頁數4
ISBN(電子)9781665488525
DOIs
出版狀態已發佈 - 2022
事件2022 International Conference on System Science and Engineering, ICSSE 2022 - Virtual, Online, 臺灣
持續時間: 5月 26 20225月 29 2022

出版系列

名字ICSSE 2022 - 2022 International Conference on System Science and Engineering

會議

會議2022 International Conference on System Science and Engineering, ICSSE 2022
國家/地區臺灣
城市Virtual, Online
期間5/26/225/29/22

ASJC Scopus subject areas

  • 控制與系統工程
  • 機械工業
  • 控制和優化
  • 人工智慧
  • 電腦科學應用
  • 資訊系統

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