Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Multimodal Bio-signal Measurement System for Sleep Analysis

수면 분석을 위한 다중 모달 생체신호 측정 시스템

  • Kim, Sang Kyu (Graduate school of Biomedical Engineering, Yonsei University) ;
  • Yoo, Sun Kook (Department of Medical Engineering, Yonsei University)
  • Received : 2017.11.17
  • Accepted : 2018.04.05
  • Published : 2018.05.31
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Abstract

In this paper, we designed a multimodal bio-signal measurement system to observe changes in the brain nervous system and vascular system during sleep. Changes in the nervous system and the cerebral blood flow system in the brain during sleep induce a unique correlation between the changes in the nervous system and the blood flow system. Therefore, it is necessary to simultaneously observe changes in the brain nervous system and changes in the blood flow system to observe the sleep state. To measure the change of the nervous system, EEG, EOG and EMG signal used for the sleep stage analysis were designed. We designed a system for measuring cerebral blood flow changes using functional near-infrared spectroscopy. Among the various imaging methods to measure blood flow and metabolism, it is easy to measure simultaneously with EEG signal and it can be easily designed for miniaturization of equipment. The sleep stage was analyzed by the measured data, and the change of the cerebral blood flow was confirmed by the change of the sleep stage.

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References

  1. National Sleep Foundation, Sleep-wake Cycle: Its Physiology and Impact on Health, 2006.
  2. B.M. Lee and H.J. Hwang, “Virtual Sleep Sensor with PSQI for Sleep Therapy Service,” Journal of Korea Multimedia Society, Vol. 18, No. 12, pp. 1538-1546, 2015. https://doi.org/10.9717/kmms.2015.18.12.1538
  3. F. Sakai, J.S. Meyer, I. Karacan, S. Derman, and M. Yamamoto, "Normal Human Sleep: Regional Cerebral Hemodynamics," Annals of Neurology, Vol. 7, No. 5, pp. 471-478, 1980. https://doi.org/10.1002/ana.410070514
  4. D. William and K. Nathaniel, "Cyclic Variations in EEG during Sleep and Their Relation to Eye Movements, Body Motility, and Dreaming," Electroencephalography and Clinical Neurophysiology, Vol. 9, No. 4, pp. 673-690, 1957. https://doi.org/10.1016/0013-4694(57)90088-3
  5. M. Uchida-Ota, N. Tanaka, H. Sato, and A. Maki, "Intrinsic Correlations of Electroencephalography Rhythms with Cerebral Hemodynamics during Sleep Transitions," Neuroimage, Vol. 42, No. 1, pp. 357-368, 2008. https://doi.org/10.1016/j.neuroimage.2008.03.055
  6. L. Ayalon and S. Peterson, "Functional Central Nervous System Imaging in the Investigation of Obstructive Sleep Apnea," Current Opinion in Pulmonary Medicine, Vol. 13, No. 6, pp. 479-483, 2008. https://doi.org/10.1097/MCP.0b013e3282f0e9fb
  7. J. Safaie, R. Grebe, H.A. Moghaddam, and F. Wallois, "Toward a Fully Integrated Wireless Wearable EEG-NIRS Bimodal Acquisition System," Journal of Neural Engineering, Vol. 10, No. 5, 056001(11pp), 2013. https://doi.org/10.1088/1741-2560/10/5/056001
  8. T.J. Huppert, S.G. Diamond, M.A. Franceschini, and D.A. Boas, "HomER: A Review of Time-series Analysis Methods for Near-infrared Spectroscopy of the Brain," Applied Optics, Vol. 48, No. 10, pp. D280-D298, 2009. https://doi.org/10.1364/AO.48.00D280
  9. L.C. Jose and L.D. Umberto, Neuroimaging - Methods Chapter: Functional Near-Infrared Spectroscopy (fNIRS): Principles and Neuroscientific Applications, In-Tech, London, 2012.
  10. T.J. Huppert, M.A. Franceschini, and D.A. Boas, In Vivo Optical Imaging of Brain Function, 2nd Edition Chapter 14: Noninvasive Imaging of Cerebral Activation with Diffuse Optical Tomography, CRC Press, Florida, 2009.
  11. M. Steriade, Neuronal Substrates of Sleep and Epilepsy, Cambridge University Press, Cambridge, 2003.
  12. R.B. Berry, R. Brooks, C. Gamaldo, S.M. Harding, R.M. Lloyd, S.F. Quan, et al., "AASM Scoring Manual Updates for 2017 (Version 2.4)," Journal of Clinical Sleep Medicine. Vol. 13, No. 5, pp. 665, 2017. https://doi.org/10.5664/jcsm.6576
  13. T. Hori, Y. Sugita, E. Koga, S. Shirakawa, K. Inoue, S. Uchida, and et al., "Proposed Supplements and Amendments to 'A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects', the Rechtschaffen & Kales (1968) Standard," Psychiatry and Clinical Neurosciences, Vol. 55, No. 3, pp. 305-310, 2001. https://doi.org/10.1046/j.1440-1819.2001.00810.x
  14. G. Zonios, J. Bykowski, and N. Kollias, "Skin Melanin, Hemoglobin, and Light Scattering Properties can be Quantitatively Assessed In Vivo Using Diffuse Reflectance Spectroscopy," Journal of Investigative Dermatology, Vol. 117, No. 6, pp. 1452-1457, 2001. https://doi.org/10.1046/j.0022-202x.2001.01577.x
  15. M. Cope, The Application of Near Infrared Spectroscopy to Non Invasive Monitoring of Cerebral Oxygenation in the Newborn Infant, Doctoral Thesis of Philosophy of the University of London, 1991.
  16. R. Kenville, T. Maudrich, D. Carius, and P. Ragert, "Hemodynamic Response Alterations in Sensorimotor Areas as a Function of Barbell Load Levels during Squatting: An fNIRS Study," Frontiers in Human Neuroscience, Vol. 11, No. 241, 2017.
  17. M.M. Richter, K.C. Zierhut, T. Dresler, M.M. Plichta, A.C. Ehlis, K. Reiss, et al., "Changes in Cortical Blood Oxygenation during Arithmetical Tasks Measured by Near-infrared Spectroscopy," Journal of Neural Transmission, Vol. 116, No. 3, pp. 267-273, 2009. https://doi.org/10.1007/s00702-008-0168-7