A basic study for system to prevent drowse by physiologic indices
Traffic accidents caused by drowsiness have become a large social problem. In this study, we aimed to develop a drowsiness detection system by heart rate variability. Eight subjects particiated in this study. Silent experimental room made them drowsy. The electrocardiogram, the electroencephalogram,...
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Published in | Journal of Advanced Science Vol. 20; no. 1+2; pp. 1 - 6 |
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Main Authors | , |
Format | Journal Article |
Language | Japanese |
Published |
Society of Advanced Science
2008
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Subjects | |
Online Access | Get full text |
ISSN | 0915-5651 1881-3917 |
DOI | 10.2978/jsas.20.1 |
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Abstract | Traffic accidents caused by drowsiness have become a large social problem. In this study, we aimed to develop a drowsiness detection system by heart rate variability. Eight subjects particiated in this study. Silent experimental room made them drowsy. The electrocardiogram, the electroencephalogram, the electro-oculogram, the respiration and the pulse wave were measured as physiological indices. The sampling frequency was 2,000 Hz. Video pictures of subjects were taken to monitor their body motion and aspect. Simultaneously, Visual Analog Scale (VAS) was used as a subjective assessment. Heart rate fluctuation was detected using the variance of threshold level that was set by the R-R intervals. The detected zone of drowsy state was assessed by the electroencephalogram and the electro-oculogram. It was only six subjects. Tow subjects could not detect the heart rate fluctuation. The variance of threshold level needs to be improved. We proposed drowsiness detection system using the simple threshold level. This system suggested the possibility to detect the drowsy state. |
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AbstractList | Traffic accidents caused by drowsiness have become a large social problem. In this study, we aimed to develop a drowsiness detection system by heart rate variability. Eight subjects particiated in this study. Silent experimental room made them drowsy. The electrocardiogram, the electroencephalogram, the electro-oculogram, the respiration and the pulse wave were measured as physiological indices. The sampling frequency was 2,000 Hz. Video pictures of subjects were taken to monitor their body motion and aspect. Simultaneously, Visual Analog Scale (VAS) was used as a subjective assessment. Heart rate fluctuation was detected using the variance of threshold level that was set by the R-R intervals. The detected zone of drowsy state was assessed by the electroencephalogram and the electro-oculogram. It was only six subjects. Tow subjects could not detect the heart rate fluctuation. The variance of threshold level needs to be improved. We proposed drowsiness detection system using the simple threshold level. This system suggested the possibility to detect the drowsy state. |
Author | FUKUMOTO, Ichiro MIYAZAWA, Takumi |
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References | 2 E.Fujita, Y.Ogura, N.Ochiai, T.Miao, T.Shimizu, T.Kamei, K.Murata, Y.Ueno, S.Kaneko, “Development of the measurement method of the prediction of sleep by finger plethysmogram data”,The Japanese Journal of Ergonomics,41,(2005)(in Japanese) 7 T.Miyazawa, I.Fukumoto,” A basic research for development of drowsiness detecting algorithm by physiologic indices”, Japanese Journal of Physiological Anthropology , 12(1), (2007)(in Japanese) 4 T.Yamakoshi, K.Yamakoshi, M.Kusakabe, “Physiological Investigation of Automobile Driver’s Activation Index using Simulated Monotonous Driving”, Transactions of Society of Automotive Engineers of Japan, 36, (2005)(in Japanese) 5 T.Fukuda, Y.Wakuda, Y.Hasegawa, F.Arai, M.Kawaguchi, A.Noda, “Sleep Qualtity Estimation based on Chaos Analysis for Heart Rate Variability”, IEEJ Trans. EIS, 125, (2005)(in Japanese) 9 T.Miyazawa, I.Fukumoto, “A basic research for development of drowsiness detecting algorithm by heart rate variability analysis”, The Society of Life Support Technology, (2007.7) 1 J.Wu, T.Chen, ”Development of a drowsiness warning system based on the fuzzy logic images analysis”, Expert Systems with Applications(2007) 8 T.Miyazawa, I.Fukumoto, “A Basic Study for Development of Drowsiness Detecting Algorithm by Physiologic Indices”, IEICE Technical Report, 107, (2007)(in Japanese) 3 M.Ishibashi, T.Yoshida, “The relationship between brain wave fluctuation and reaction times with the decrease in arousal level”, The Japanese Journal of Ergonomics, 36, (2000)(in Japanese) 6 DeBoer RW, Karemaker JM,Strackee J, ”Hemodynamic fluctuation and baroreflex sensitivity in humans; A beat-to-beat model.”, Am J Physiol, 253, (1987) 10 M.Nakao, M.Yamamoto, “Biological Rhythms and Fluctuations”(Seitairizumu to yuragi), Korona sya, (2004)(in Japanese) |
References_xml | – reference: 9 T.Miyazawa, I.Fukumoto, “A basic research for development of drowsiness detecting algorithm by heart rate variability analysis”, The Society of Life Support Technology, (2007.7) – reference: 3 M.Ishibashi, T.Yoshida, “The relationship between brain wave fluctuation and reaction times with the decrease in arousal level”, The Japanese Journal of Ergonomics, 36, (2000)(in Japanese) – reference: 2 E.Fujita, Y.Ogura, N.Ochiai, T.Miao, T.Shimizu, T.Kamei, K.Murata, Y.Ueno, S.Kaneko, “Development of the measurement method of the prediction of sleep by finger plethysmogram data”,The Japanese Journal of Ergonomics,41,(2005)(in Japanese) – reference: 10 M.Nakao, M.Yamamoto, “Biological Rhythms and Fluctuations”(Seitairizumu to yuragi), Korona sya, (2004)(in Japanese) – reference: 8 T.Miyazawa, I.Fukumoto, “A Basic Study for Development of Drowsiness Detecting Algorithm by Physiologic Indices”, IEICE Technical Report, 107, (2007)(in Japanese) – reference: 1 J.Wu, T.Chen, ”Development of a drowsiness warning system based on the fuzzy logic images analysis”, Expert Systems with Applications(2007) – reference: 6 DeBoer RW, Karemaker JM,Strackee J, ”Hemodynamic fluctuation and baroreflex sensitivity in humans; A beat-to-beat model.”, Am J Physiol, 253, (1987) – reference: 7 T.Miyazawa, I.Fukumoto,” A basic research for development of drowsiness detecting algorithm by physiologic indices”, Japanese Journal of Physiological Anthropology , 12(1), (2007)(in Japanese) – reference: 4 T.Yamakoshi, K.Yamakoshi, M.Kusakabe, “Physiological Investigation of Automobile Driver’s Activation Index using Simulated Monotonous Driving”, Transactions of Society of Automotive Engineers of Japan, 36, (2005)(in Japanese) – reference: 5 T.Fukuda, Y.Wakuda, Y.Hasegawa, F.Arai, M.Kawaguchi, A.Noda, “Sleep Qualtity Estimation based on Chaos Analysis for Heart Rate Variability”, IEEJ Trans. EIS, 125, (2005)(in Japanese) |
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SubjectTerms | Drowsiness Electrocardiogram Electroencephalogram Heart rate fluctuation R-R interval |
Title | A basic study for system to prevent drowse by physiologic indices |
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