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access icon free Non-invasive detection of alcohol concentration based on photoplethysmogram signals

Sobriety test, which commonly uses a breathalyser for estimating blood alcohol content (BAC) from a breath sample, is commonly used to detect drunk driving. The detection often gives rise to sanitary concern and violation of human right. This research proposes a new method that employs non-invasive measurement of photoplethysmography (PPG) signal for detecting BAC of the test subject under the sobriety test. The PPG signal is measured via an LED transmitter and a receiver that illuminates finger and measures the changes in lighting. Since a PPG signal contains information of systolic and diastolic blood pressure, it is possible to be used for the purpose of detecting BAC. The authors have developed a practical alcohol sobriety test system to analyse the status of alcohol intake of the subject. Extensive tests have been conducted to examine feasibility of the proposed system with an identification rate up to 85%.

References

    1. 1)
      • 2. Hu, S., Zheng, J., Chouliaras, V., et al: ‘Feasibility of imaging photoplethysmography’. Proc. IEEE Int. Conf. BioMedical Engineering and Informatics, May 2008, pp. 7275.
    2. 2)
      • 10. Lin, C.L, Chen, I.I, Lin, Y.C.: ‘Noninvasive alcohol concentration detecting device’. Patent no. 105205956, Taiwan, 2016.
    3. 3)
      • 7. Izawa, Y., Tamura, S., Omura, Y.: ‘Reliable method to mask smoking effect on alcoholic intake detection based on photoplethysmogram signal analysis’, IEEE Sens. J., 2014, 14, (5), pp. 14181424.
    4. 4)
      • 3. Zahedi, E., Jaafar, R., Ali, M.M., et al: ‘Finger photoplethysmogram pulse amplitude changes induced by flow-mediated dilation’, Proc. Physiol. Meas., 2008, 29, (5), pp. 625637.
    5. 5)
      • 11. Karimipour, H., Shandiz, T.H., Zahedi, E.: ‘Diabetic diagnose test based on PPG signal and identification system’, J. Biomed. Sci. Eng., 2009, 2, (6), pp. 465469.
    6. 6)
      • 6. Izawa, Y., Tamura, S., Omura, Y.: ‘Advanced method to mask smoking effect on alcoholic intake detection based on photoplethysmogram signal analysis’. Proc. IEEE Sensors Conf., Taipei, October 2012, pp. 10331036.
    7. 7)
      • 8. Yang, L., Zhang, S., Li, X., et al: ‘Removal of pulse waveform baseline drift using cubic spline interpolation’. Proc. Int. Conf. Bioinformatics and Biomedical Engineering, Shenzhen, 2010, pp. 13.
    8. 8)
      • 1. Department of Transportation (US), National Highway Traffic Safety Administration (NHTSA): ‘Traffic safety facts 2014 data: alcohol-impaired driving’, NHTSA, Washington, DC, 2015. Available at http://www-nrd.nhtsa.dot.gov/Pubs/812231.pdf.
    9. 9)
      • 9. Lin, J.J.: ‘Blood alcohol concentration test using electrocardiogram and photoplethysmogram’. Master thesis, National Chung Hsing University, 2015.
    10. 10)
      • 4. Fukuda, K., Shimizu, Y., Omura, Y.: ‘Enhancing detection sensitivity of alcohol intake by dividing photoplethysmogram signals’. Proc. IEEE Sensors 2010 Conf., Hawaii, November 2010, pp. 498503.
    11. 11)
      • 5. Kojima, K., Tamura, S., Omura, Y.: ‘Advanced technique to suppress subject variety for bio-impedance based alcohol-intake detection’. Proc. IEEE Sensors Conf., Taipei, October 2012, pp. 370373.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-ipr.2017.0625
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