|Table of Contents|

 Mental fatigue detection based on heart rate variability(PDF)

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

Issue:
2018年第5期
Page:
592-597
Research Field:
医学信号处理与医学仪器
Publishing date:

Info

Title:
 Mental fatigue detection based on heart rate variability
Author(s):
 ZHAO Xiaojing1 LU Haiyue1 WANG Mengyue1 GENG Xinling12 ZHANG Kuan12 LI Xia12
 1. School of Biomedical Engineering, Capital Medical University, Beijing 100069, China; 2. Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing 100069, China
Keywords:
 Keywords: mental fatigue sleep deprivation heart rate variability subjective fatigue level attentional network task
PACS:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2018.05.017
Abstract:
 Abstract: Objective To study the development trend and evaluation index of mental fatigue based on heart rate variability (HRV). Methods Mental fatigue was induced by sleep deprivation. The HRV parameters of electrocardiogram signals of subjects in a quiet and relaxed state were extracted. In different time points, the HRV parameters in combination with subjective fatigue levels and attentional network task (ANT) results were applied to research the development trend and evaluation index of mental fatigue. Results As the duration of sleep deprivation increased, the subjective fatigue level of subjects gradually increased; the correct rate of ANT dropped and the mean reaction time increased significantly. However, the heart rate and HRV index affected by circadian rhythm showed a trend of changes different from subjective fatigue levels and ANT results. Heart rate decreased and HRV index increased significantly in the mental fatigue state. Conclusion Considering the circadian rhythm and multi-dimensional information such as heart rate, HRV index and ANT results, it is possible to make a more effective evaluation of mental fatigue caused by sleep deprivation in circadian rhythm groups.

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Last Update: 2018-05-22