Research on Alert Degree Based on ERP

Article Preview

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 was used to analyze the alert state, according to this study, the use of ERP component analysis can reflect the subjects’ alertness.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

2761-2764

Citation:

Online since:

May 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Ji Qiang and Yang Xiaojie. Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance. Real-Time Imaging, 2002, 8, pp.357-377.

DOI: 10.1006/rtim.2002.0279

Google Scholar

[2] Strijkstra AM, Beersma DG, Drayer B, Halbesma N, Daan S. Subjective sleepiness correlates negatively with global alpha (8–12 Hz) and positively with central frontal theta (4–8 Hz) frequencies in the human resting awake electroencephalogram. Neurosci Lett, 2003, 340(1), p.17–20.

DOI: 10.1016/s0304-3940(03)00033-8

Google Scholar

[3] Angelakis E, Hatzis A, Panourias IG, Sakas DE. Brain-computer interface: a reciprocal self-regulated neuromodulation. Acta Neurochir Suppl. 2007;97(Pt 2):555-9.

DOI: 10.1007/978-3-211-33081-4_64

Google Scholar

[4] Li Mingai,Zhang Cheng,Yang Jinfu, EEG-Based Method to Determine the Drowsiness Degree of EEG signal,Beijng Biomedical Engneering,Vol 30 No1 February 2011 pp.57-62.

Google Scholar