Vigilance Degree Computing Based on EEG

Zhenzhong Zhan, Zhendong Mu

Abstract


In daily life, lots of work need people maintain higher attention or vigilance. In the early study of vigilance, blink frequency, the impedance of skin, body temperature and blood pressure and other physiological signals was used to estimate the vigilance. EEG signal can more directly reflect the brain's activity than other physiological signals, and EEG signal have a higher time resolution. In this paper, ERP component and different frequencies of EEG were used to analyze the alert state, according to this study, in the ERP components, N170 can be a good representation of the degree of fatigue of the subject; Through the 10 subjects EEG frequency distribution analysis, and according to the formula defined in this paper, the vigilance degree of this ten subjects was calculated.

 

DOI:  http://dx.doi.org/10.11591/telkomnika.v11i9.3298 

 


Keywords


Electroencephalogram; Vigilance Degree; Event-related Potential; Frequencies distribute

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

The Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

shopify stats IJEECS visitor statistics