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精神疲劳的数字生物标志物。

Digital biomarker of mental fatigue.

作者信息

Tseng Vincent Wen-Sheng, Valliappan Nachiappan, Ramachandran Venky, Choudhury Tanzeem, Navalpakkam Vidhya

机构信息

Cornell University, Ithaca, NY, USA.

Google Research, Mountain View, CA, USA.

出版信息

NPJ Digit Med. 2021 Mar 11;4(1):47. doi: 10.1038/s41746-021-00415-6.

DOI:10.1038/s41746-021-00415-6
PMID:33707736
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7952693/
Abstract

Mental fatigue is an important aspect of alertness and wellbeing. Existing fatigue tests are subjective and/or time-consuming. Here, we show that smartphone-based gaze is significantly impaired with mental fatigue, and tracks the onset and progression of fatigue. A simple model predicts mental fatigue reliably using just a few minutes of gaze data. These results suggest that smartphone-based gaze could provide a scalable, digital biomarker of mental fatigue.

摘要

精神疲劳是警觉性和幸福感的一个重要方面。现有的疲劳测试具有主观性和/或耗时性。在此，我们表明基于智能手机的注视会因精神疲劳而显著受损，并能追踪疲劳的发作和进展。一个简单的模型仅使用几分钟的注视数据就能可靠地预测精神疲劳。这些结果表明，基于智能手机的注视可以提供一种可扩展的精神疲劳数字生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b91a/7952693/f58f739c5ed5/41746_2021_415_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b91a/7952693/ea601a1ed587/41746_2021_415_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b91a/7952693/f58f739c5ed5/41746_2021_415_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b91a/7952693/ea601a1ed587/41746_2021_415_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b91a/7952693/f58f739c5ed5/41746_2021_415_Fig2_HTML.jpg

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Responding to the hidden pandemic for healthcare workers: stress.应对医护人员面临的隐性大流行：压力。
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