Design and implementation of platform for collecting physiological and psychological data for mood status inference

Wei Ting Yen, 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 state is an important issue for diagnosing whether people getting depressed or not. The general assessment tool is to use the Hamilton Depression Rating Scale (HAM-D). In general, psychiatrist utilizes Monthly Mood Chart (MMC) to collect and infer the mental state during the treatment for assessing whether the symptoms relieved or not. But, the MMC is a kind of psychology data. Recently, there is research has developed to evaluate individual emotional and mental state in the way of fusion of psychology and physiology. Therefore, how to effectively and conveniently collect patient's psychological and physiological data to integrate them together has become an important issue. In this paper, we design and implement a platform for collecting data and inferring mental state; the data includes patients' physiological and psychological data, such as Electroencephalography (EEG), Heart Rate Variability (HRV), and MMC. The platform can automatically infer emotional state and provide it to psychiatrists for assessment. This platform is cooperating with psychiatrists in two hospitals and would like to obtain approval. It can be used for the diagnosis of future mental illnesses.
原文英語
主出版物標題Proceedings of 2021 International Conference on System Science and Engineering, ICSSE 2021
發行者Institute of Electrical and Electronics Engineers Inc.
頁面427-432
頁數6
ISBN(電子)9781665448482
DOIs
出版狀態已發佈 - 8月 26 2021
事件2021 International Conference on System Science and Engineering, ICSSE 2021 - Virtual, Ho Chi Minh City, 越南
持續時間: 8月 26 20218月 28 2021

出版系列

名字Proceedings of 2021 International Conference on System Science and Engineering, ICSSE 2021

會議

會議2021 International Conference on System Science and Engineering, ICSSE 2021
國家/地區越南
城市Virtual, Ho Chi Minh City
期間8/26/218/28/21

ASJC Scopus subject areas

  • 人工智慧
  • 電腦視覺和模式識別
  • 訊號處理
  • 能源工程與電力技術
  • 控制與系統工程
  • 電氣與電子工程
  • 控制和優化

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