Machine learning-based classification of circadian rhythm characteristics for mild cognitive impairment in the elderly

Machine learning-based classification of circadian rhythm characteristics for mild cognitive impairment in the elderly

IntroductionUsing wrist-wearable sensors to ecological transient assessment may provide a more valid assessment of physical activity, sedentary time, sleep and circadian rhythm than self-reported questionnaires, but has not been used widely to study the association with mild cognitive impairment and...

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Bibliographic Details
Main Authors: Zhizhen Liu, Lin Zhang, Jingsong Wu, Zhicheng Zheng, Jiahui Gao, Yongsheng Lin, Yinghua Liu, Haihua Xu, Yongjin Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Public Health
Subjects:
mild cognitive impairment
circadian rhythm
wrist-wearable sensors
ecological transient assessment
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.1036886/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.1036886/full

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