双相情感障碍
心情
萧条(经济学)
情绪障碍
情绪检测
心理学
生活质量(医疗保健)
精神科
特征(语言学)
数据科学
计算机科学
临床心理学
心理治疗师
情绪识别
神经科学
焦虑
经济
宏观经济学
哲学
语言学
作者
Daniel Highland,Gang Zhou
出处
期刊:Smart Health
[Elsevier]
日期:2022-04-01
卷期号:24: 100282-100282
被引量:4
标识
DOI:10.1016/j.smhl.2022.100282
摘要
Depression and bipolar disorder are mood disorders affecting millions of people worldwide that can have severe impacts on one’s quality of life. Our ability to detect these illnesses is directly tied to our ability to intervene; however, there has not yet been a systematic review of the technological aspects of the most studied mood disorder detection mechanisms. This survey summarizes detection methods from clinical sensing solutions, such as electroencephalograms and functional near infrared spectroscopy, to ubiquitous sensing solutions, such as scraping social media data and utilizing GPS data. We provide break downs of the algorithms and feature processing techniques of the state of the art methods across these various category and discuss the current challenges affecting mood disorder detection technology, setting the stage for further research.
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