Browse > Article
http://dx.doi.org/10.6110/KJACR.2017.29.3.134

The Effect of Cold Air Stimulation on Electroencephalogram and Electrocardiogram during the Driver's Drowsiness  

Kim, Minsoo (Graduate School of Refrigeration & Air Conditioning Engineering, Pukyong National University)
Kim, Donggyu (Department of Mechanical & Shipbuilding Convergence Engineering, Pukyong National University)
Park, Jongil (Department of Building Systems Engineering, Dong-Eui University)
Kum, Jongsoo (Department of Refrigeration & Air Conditioning Engineering, Pukyong National University)
Publication Information
Korean Journal of Air-Conditioning and Refrigeration Engineering / v.29, no.3, 2017 , pp. 134-141 More about this Journal
Abstract
The purpose of this study was to analyze physiological changes via a cold air reaction experiment to generate basic data that are useful for the development of an automobile active air conditioning system to prevent drowsiness. The $CO_2$ concentration causing drowsiness in vehicle operation was kept below a certain level. Air was blown to the driver's face by using an indoor air cooling apparatus. Sleepiness and the arousal state of the driver in cold wind were measured by physiological signals. It was evident in the EEG that alpha waves decreased and beta waves increased, caused by cold air stimulation. The ${\alpha}/{\beta}$ ratio was reduced by about 52.9% and an alert state confirmed. In the electrocardiogram analysis, the efficiency of cold air stimulation was confirmed by the mean heart rate interval change. The R-R interval had a delay time of about one minute compared to the EEG response. The findings confirmed an arousal effect from sleepiness due to cold air stimulation.
Keywords
Drowsiness; Physiologic signal; EEG; ECG;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Kim, S. H. and Chang, H. J., 2000, History of Automotive Air Conditioning, Magazine of the SAREK, Vol. 29, No. 10, pp. 9-13.
2 Korea Transportation Safety Authority.
3 Lee, S. H., 2003, Drowsy Driving and Traffic Accidents, Int. Journal of Sleep Medicine and Psychophysiology, Vol. 10, No. 2, pp. 84-87.
4 Han, H. S. and Chong, U. P., 2012, Electroencephalogram-based Driver Drowsiness Detection System Using AR Coefficients and SVM, Int. Journal of Korean Institute of Intelligent Systems, Vol. 22, No. 6, pp. 768-773.   DOI
5 Han, H. S. and Song, K. Y., 2015, Improvement of EEG-Based Drowsiness Detection System Using Discrete Wavelet Transform, Int. Journal of The Korean Institute of Communication Sciences, Vol. 40, No. 9, pp. 1731-1733.   DOI
6 Kim, M. S., Kim, Y. N., and Heo, Y. S., 2014, Characteristics of Heart Rate Variability Derived from ECG during the Driver's Wake and Sleep States, Transactions of KSAE, Vol. 22, No. 3, pp. 136-142.   DOI
7 Lee, G. D., Kum, J. S., Kim, D. G., Oh, J. H., Kim, M. S. and Yu, S. J., 2012, A Study on Drowsiness Prevention using Blowing to Face during Driving, Proceeding of KSAE, pp. 1880-1884.
8 Kang, S. M., Huh, K. M. and Lee, S. H., 2016, Development of a Drowsiness Detection System using Retinex Theory and Edge Information, Int. Journal of Institute of Control, Robotics and Systems, Vol. 22, No. 9, pp. 699-704.   DOI
9 10/20 System Positioning Manual, Trans Cranial Technologies.
10 Kim, K. S., Shin, S. W., Lee, J. W., and Choi, H. J., 2008, The Assessment of Dynamic Mental Stress with Wearable Heart Activity Monitoring System, Int. Journal of The Transactions of The Korean Institute of Electrical Engineers, Vol. 57, No. 6, pp. 1109-1115.
11 Jin, B. H., Bae, H. J., Song, S. O., and Kim, Y. O. 1999, Clinical Physiology, Daihak Publishing Company, pp. 24-33.