DOI: 10.14704/nq.2018.16.5.1359

Sub-health Screening Management of Employees Based on Brain Evoked Potential Analysis

Zhenyao Ma

Abstract


The difficulty in concentrating attention is one of the clinical manifestations of sub-health status. In order to use the event-related potentials (ERP) technology to reveal the health status of employees, this study selects a classic clinical experimental paradigm continuous operation test. Brain evoked potential experiment is adopted to examine the changes in attention in electrophysiological indicators under different conditions and behavioral indicators such as reaction time are comprehensively analyzed. The results show that the Brain evoked potential indicator and behavioral indicator under single and dual task have different degrees of difference. In particular, the amplitude of P300 in Brain evoked potential is significantly different, which can represent the changes of attention objectively and sensitively. It can be seen that the detection means of sub-health status of employees can use the reaction time and Brain evoked potential as a supplement to objective physiological indicators.

Keywords


Sub-health of Employees, Management of Employees, Experiment Research, Brain Evoked Potential Analysis

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References


Dong X, Zhang A, Cui J. Analysis of the sub-health status and influencing factors of medical staff. Health Soft Science 2013; 27(12): 770-72.

Hu F. Survey and analysis of the subhealth status of CBD white-collar workers in Qianjiang new town of a city and analysis. Chinese Medical Guide 2013; 13: 483-483.

Lu Y, Xu J, Cai Y. A study on the reliability and validity of subhealth assessment of urban residents by subhealth assessment scale. Chinese Journal of Health Psychology 2013; 21(5): 707-10.

Meng S, Run Y, Liu Y. Intercalated, research on sub-health status and influential factors of the medical staff China General Practice 2013; 16(1): 61-64.

Run L, Li C, Su B. Study on the correlation between depression patients with resting state functional magnetic resonance imaging and the severity of depression. Chinese General Practice 2014; 17(7): 800-02.

van Bömmel A, Song S, Majer P, Mohr PN, Heekeren HR, Härdle WK. Risk patterns and correlated brain activities. Multidimensional statistical analysis of fMRI data in economic decision making study. Psychometrika 2014; 79(3):489-514.

Yao G, Tao Y, Xu Y. A preliminary study on the status, causes and adjustment of the sub health of entrepreneurs. China's Health Management 2013; 8: 626-27.

Yu K, Bi J, Huang Y, Li F, Cheng J, Wang T, Wu L, Chen J, Xiao Y, Luo R, Zhao X. Relationship between health-promoting lifestyle and sub-health status in the employees of an enterprise. Journal of Southern Medical University 2013; 33(8):1203-06.

Zeng T, Practising Q, Li Q. The investigation of sub health factors and subhealth risk factors of subhealth of Guangzhou residents. Modern Preventive Medicine 2013; 7: 1294-98.

Zhang L. Brain heart Tongzhi to create a new future of subhealth prevention and treatment-the third National Association of Chinese and Western medicine with the brain and heart association academic exchange. Chinese Medical Information Guide 2013; 28(8): 18.


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