Study of Driving Fatigue Alleviation by Transcutaneous Acupoints Electrical Stimulations

Joint Authors

Wang, Fuwang
Wang, Hong

Source

The Scientific World Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-09-01

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

Driving fatigue is more likely to bring serious safety trouble to traffic.

Therefore, accurately and rapidly detecting driving fatigue state and alleviating fatigue are particularly important.

In the present work, the electrical stimulation method stimulating the Láogóng point (劳宫PC8) of human body is proposed, which is used to alleviate the mental fatigue of drivers.

The wavelet packet decomposition (WPD) is used to extract θ, α, and β subbands of drivers’ electroencephalogram (EEG) signals.

Performances of the two algorithms (θ+α)/(α+β) and θ/β are also assessed as possible indicators for fatigue detection.

Finally, the differences between the drivers with electrical stimulation and normal driving are discussed.

It is shown that stimulating the Láogóng point (劳宫PC8) using electrical stimulation method can alleviate driver fatigue effectively during longtime driving.

American Psychological Association (APA)

Wang, Fuwang& Wang, Hong. 2014. Study of Driving Fatigue Alleviation by Transcutaneous Acupoints Electrical Stimulations. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1049651

Modern Language Association (MLA)

Wang, Fuwang& Wang, Hong. Study of Driving Fatigue Alleviation by Transcutaneous Acupoints Electrical Stimulations. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1049651

American Medical Association (AMA)

Wang, Fuwang& Wang, Hong. Study of Driving Fatigue Alleviation by Transcutaneous Acupoints Electrical Stimulations. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1049651

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1049651