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Driver fatigue and drowsiness monitoring system with embedded electrocardiogram sensor on steering wheel

Driver fatigue and drowsiness monitoring system with embedded electrocardiogram sensor on steering wheel

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Real time driver health condition monitoring system with drowsiness alertness was proposed. A new embedded electrocardiogram (ECG) sensor with electrically conductive fabric electrodes on the steering wheel of a car was designed to monitor the driver's health condition. The ECG signals were measured at a sampling rate of 100 Hz from the driver's palms as they stay on a pair of conductive fabric electrodes located on the steering wheel. Practical tests were conducted using an embedded ECG sensor with a wireless sensor node, and their performance was assessed under non-stop 2 h driving test. The ECG signals were measured and transmitted wirelessly to a base station connected to a server PC in personal area network environment. The driver's health condition such as the normal, fatigued and drowsy states was analysed by evaluating the heart rate variability in the time and frequency domains.

References

    1. 1)
      • D. Royal .
        1. Royal, D.: ‘Volume I – findings report; national survey on distracted and driving attitudes and behaviors, 2002’. Technical Reports DOT HS 809 566, The Gallup Organization, Washington, DC, March 2003.
        .
    2. 2)
      • M.R. Rosekind .
        2. Rosekind, M.R.: ‘Underestimating the societal costs of impaired alertness: safety, health and productivity risks’, Sleep Med., 2005, 6, pp. S21S25 (doi: 10.1016/S1389-9457(05)80005-X).
        . Sleep Med. , S21 - S25
    3. 3)
      • H. Ueno , M. Kaneda , M. Tsukina .
        3. Ueno, H., Kaneda, M., Tsukina, M.: ‘Development of drowsiness detection system’. Proc. Vehicle Navigation and Information Systems Conf., 1994, pp. 1520.
        . Proc. Vehicle Navigation and Information Systems Conf. , 15 - 20
    4. 4)
      • J. Vicente , P. Laguna , A. Bartra , R. Bailon .
        4. Vicente, J., Laguna, P., Bartra, A., Bailon, R.: ‘Detection of driver's drowsiness by means of HRV analysis’, Comput. Cardiol., 2011, 38, pp. 8992.
        . Comput. Cardiol. , 89 - 92
    5. 5)
      • H. De Rosario , J.S. Solaz , N. Rodríguez , L.M. Bergasa .
        5. De Rosario, H., Solaz, J.S., Rodríguez, N., Bergasa, L.M.: ‘Controlled inducement and measurement of drowsiness in a driving simulator’, IET Intell. Transp. Syst., 2010, 4, pp. 280288 (doi: 10.1049/iet-its.2009.0110).
        . IET Intell. Transp. Syst. , 280 - 288
    6. 6)
      • T. Yamakoshi , P. Rolfe , Y. Yamakoshi , H. Hirose .
        6. Yamakoshi, T., Rolfe, P., Yamakoshi, Y., Hirose, H.: ‘A novel physiological index for driver's activation state derived from simulated monotonous driving studies’, Transp. Res. Part C, Emerg. Technol., 2009, 17, pp. 6980 (doi: 10.1016/j.trc.2008.09.002).
        . Transp. Res. Part C, Emerg. Technol. , 69 - 80
    7. 7)
      • C.T. Lin , R.C. Wu , S.F. Liang , W.H. Chao , Y.J. Chen , T.P. Jung .
        7. Lin, C.T., Wu, R.C., Liang, S.F., Chao, W.H., Chen, Y.J., Jung, T.P.: ‘EEG-based drowsiness estimation for safety driving using independent component analysis’, IEEE Trans. Circ. Syst., 2005, 52, pp. 27262738 (doi: 10.1109/TCSI.2005.857555).
        . IEEE Trans. Circ. Syst. , 2726 - 2738
    8. 8)
      • W.Y. Chung , Y.D. Lee , S.J. Jung .
        8. Chung, W.Y., Lee, Y.D., Jung, S.J.: ‘A wireless sensor network compatible wearable u-healthcare monitoring system using integrated ECG, accelerometer and SpO2’. Proc. IEEE Int. Conf. Engineering in Medicine and Biology Society, Canada, 2008, pp. 15291532.
        . Proc. IEEE Int. Conf. Engineering in Medicine and Biology Society , 1529 - 1532
    9. 9)
      • Y.G. Lim , K.K. Kim , K.S. Park .
        9. Lim, Y.G., Kim, K.K., Park, K.S.: ‘ECG measurement on a chair without conductive contact’, IEEE Trans. Biomed. Eng., 2006, 53, pp. 956959 (doi: 10.1109/TBME.2006.872823).
        . IEEE Trans. Biomed. Eng. , 956 - 959
    10. 10)
      • S.J. Jung , T.H. Kwon , W.Y. Chung .
        10. Jung, S.J., Kwon, T.H., Chung, W.Y.: ‘A new approach to design ambient sensor network for real time healthcare monitoring system’. Proc. IEEE SENSORS Conf., New Zealand, 2009, pp. 576580.
        . Proc. IEEE SENSORS Conf. , 576 - 580
    11. 11)
      • H.J. Eoh , M.K. Chung , S.H. Kim .
        11. Eoh, H.J., Chung, M.K., Kim, S.H.: ‘Electroencephalographic study of drowsiness in simulated driven with sleep deprivation’, Int. J. Ind. Ergon., 2005, 35, pp. 307320 (doi: 10.1016/j.ergon.2004.09.006).
        . Int. J. Ind. Ergon. , 307 - 320
    12. 12)
      • C.T. Lin , R.C. Wu , S.F. Liang , W.H. Chao , Y.J. Chen , T.P. Jung .
        12. Lin, C.T., Wu, R.C., Liang, S.F., Chao, W.H., Chen, Y.J., Jung, T.P.: ‘EEG-based drowsiness estimation for safety driving using independent component analysis’, IEEE Trans. Circ. Syst., 2005, 52, pp. 27262738 (doi: 10.1109/TCSI.2005.857555).
        . IEEE Trans. Circ. Syst. , 2726 - 2738
    13. 13)
      • S.K.L. Lal , A. Craig , P. Boord , L. Kirkup , H. Nguyen .
        13. Lal, S.K.L., Craig, A., Boord, P., Kirkup, L., Nguyen, H.: ‘Development of an algorithm for an EEG-based driver fatigue countermeasure’, J. Saf. Res., 2003, 34, pp. 321328 (doi: 10.1016/S0022-4375(03)00027-6).
        . J. Saf. Res. , 321 - 328
    14. 14)
      • K. Yammamoto , S. Higuchi .
        14. Yammamoto, K., Higuchi, S.: ‘Development of a drowsiness warning system’, J. Soc. Autom. Eng., Japan, 1992, 46, pp. 127133.
        . J. Soc. Autom. Eng., Japan , 127 - 133
    15. 15)
      • C. Zywietz .
        15. Zywietz, C.: ‘A brief history of electrocardiography – progress through technology’. Proc. Tutorial, Biosignal Institute for Biosignal Processing and Systems Research, 2003.
        . Proc. Tutorial, Biosignal Institute for Biosignal Processing and Systems Research
    16. 16)
      • I.B. Lee , S.C. Shin , Y.W. Jang , Y.S. Song , F.W. Jeong , S. Kim .
        16. Lee, I.B., Shin, S.C., Jang, Y.W., Song, Y.S., Jeong, F.W., Kim, S.: ‘Comparison of conductive fabric sensor and Ag-AgCl sensor under motion artifacts’. Proc. IEEE Int. Conf. Engineering in Medicine and Biology Society, Canada, 2008, pp. 13001303.
        . Proc. IEEE Int. Conf. Engineering in Medicine and Biology Society , 1300 - 1303
    17. 17)
      • 17. Task Force of the European Society of Cardiology and The North American Society of Pacing and Electrophysiology: ‘Guidelines-heart rate variability: standards of measurement, physiological interpretation, and clinical use’, Eur. Heart J., 1996, 17, pp. 354381 (doi: 10.1093/oxfordjournals.eurheartj.a014868).
        . Eur. Heart J. , 354 - 381
    18. 18)
      • K. Fox , J.S. Borer , A.J. Camm .
        18. Fox, K., Borer, J.S., Camm, A.J., et al: ‘Resting heart rate in cardiovascular disease’, J. Am. Coll. Cardiol., 2007, 50, pp. 823830 (doi: 10.1016/j.jacc.2007.04.079).
        . J. Am. Coll. Cardiol. , 823 - 830
    19. 19)
      • T. Goto , H. Fukushima , G. Sasaki , N. Matsuo , T. Takahashi .
        19. Goto, T., Fukushima, H., Sasaki, G., Matsuo, N., Takahashi, T.: ‘Evaluation of autonomic nervous system function with spectral analysis of heart rate variability in a case of tetanus’, Brain Dev., 2001, 23, pp. 791795 (doi: 10.1016/S0387-7604(01)00259-5).
        . Brain Dev. , 791 - 795
    20. 20)
      • D. Todman .
        20. Todman, D.: ‘Autonomic’ nervous system’, Eur. Neurol., 2008, 60, pp. 215216 (doi: 10.1159/000148695).
        . Eur. Neurol. , 215 - 216
    21. 21)
      • A. Malliani , F. Lombardi , M. Pagani .
        21. Malliani, A., Lombardi, F., Pagani, M.: ‘Power spectrum analysis of heart rate variability: a tool to explore neural regulatory mechanisms’, Br. Heart J., 1994, 71, pp. 12 (doi: 10.1136/hrt.71.1.1).
        . Br. Heart J. , 1 - 2
    22. 22)
      • G.C. Butler , Y. Yamamoto , R.L. Hughson .
        22. Butler, G.C., Yamamoto, Y., Hughson, R.L.: ‘Heart rate variability to monitor autonomic nervous system activity during orthostatic stress’, J. Clin. Pharmacol., 1994, 34, pp. 558562 (doi: 10.1002/j.1552-4604.1994.tb02007.x).
        . J. Clin. Pharmacol. , 558 - 562
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