A Web-Based Longitudinal Mental Health Monitoring System

Zhiwei Chen, Weizhao Yang, Jinrong Li, Jiale Wang, Shuai Li, Ziwen Wang, Lei Xie

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Current clinical assessments of depression disorder are heavily relied on the questionnaire tables on patients' daily behavior, sleeping, and mood status of the past two weeks. However, the information obtained through the patient's review of the past two weeks' experience is neither timely nor objective. Moreover, while patients have medicine at home, doctors lose the way of monitoring and intervening them on time. In this paper, we propose and implement a web-based longitudinal mental health monitoring system. On the user end, the patients can report their daily information through ecological momentary assessment (EMA), share their emotions in speech or face video, test their depression severity through the PHQ-9 questionnaire table or face videos recorded while going through a semi-structured interview, and check their recent history of activity, sleeping, emotion log, and depression severity etc. The server end implements emotion recognition and depression estimation on the pre-trained deep learning models. On the doctor end, the doctor can manage the information of all the patients under his(her) supervision, monitor their recent status, and edit their depression severity after clinical diagnosis.

源语言英语
主期刊名ICMI 2021 Companion - Companion Publication of the 2021 International Conference on Multimodal Interaction
出版商Association for Computing Machinery, Inc
121-125
页数5
ISBN(电子版)9781450384711
DOI
出版状态已出版 - 18 10月 2021
活动23rd ACM International Conference on Multimodal Interaction, ICMI 2021 - Virtual, Online, 加拿大
期限: 18 10月 202122 10月 2021

出版系列

姓名ICMI 2021 Companion - Companion Publication of the 2021 International Conference on Multimodal Interaction

会议

会议23rd ACM International Conference on Multimodal Interaction, ICMI 2021
国家/地区加拿大
Virtual, Online
时期18/10/2122/10/21

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