Browse > Article
http://dx.doi.org/10.9717/kmms.2020.23.2.204

Customized Realtime Control of Sleep Induction Sound based on Brain Wave Data  

Wi, Hyeon Seung (Dept. of IT Convergence Engineering, Gachon University)
Lee, Byung Mun (Dept. of Computer Engineering, Gachon University)
Publication Information
Journal of Korea Multimedia Society / v.23, no.2, 2020 , pp. 204-215 More about this Journal
Abstract
People who have sleep disorders such as insomnia take a long time to get to sleep, namely sleep latency. In order to reduce it, effective stimulations and environments to induce sleep such as ASMR or pink noise are necessary. However these have different effects and preferences for each individual. Therefore customized service and control for the sleep induction will be provide to him/her. In this paper, we proposed SIS control system which provides selectively sound control among various kinds of ASMR and pink noise according to sleep state measured from brain wave data for an individual. In order to verify the effectiveness of the system, we had conducted totally 30 experiments for 5 people, and all EEG data measured from all the people during sleep. An average of 3.7 hours was spent per experiment. In comparison experiments with and without sound control for sleep induction, the latency time was reduced by an average of 8 minutes as well as delta waves and theta waves, which appear only in deep sleep, are increased by 21%.
Keywords
EEG; Induction Sleep; Brain Wave; ASMR; Sleep Disorders;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Y. Baek, J. Yoo, S. Lee, and H. Jin, "Domestic Trends of Research and Patent for Sleep Disorder," Life Sciences, Vol. 13, No. 6, pp. 309-317, 2013.
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.   DOI
3 Y. Touitou, A. Reinberg, and D. Touitou, "Shift Work and Cancer Risk: Potential Mechanistic Roles of Circadian Disruption, Light at Night, and Sleep Deprivation," Sleep Medicine Reviews, Vol. 173, No. 4, pp. 94-106, 2017.
4 R.J. Raymann, D.F. Swaab, and E.J.W.V. Someren, "Skin Deep: Enhanced Sleep Depth by Cutaneous Temperature Manipulation," Brain, Vol. 131, No. 2, pp. 500-513, 2008.   DOI
5 F. Paul, M. Schädlich, and D. Erlacher, "Lucid Dream Induction by Visual and Tactile Stimulation: An Exploratory Sleep Laboratory Study," International J ournal of Dream Research, Vol. 7, No. 1, pp. 61-66, 2014.
6 B. Chung and H. Park, "Effects of Non-pharmacological Interventions for Adults with Insomnia in Korea: A Meta-analysis," Korea Academy Industrial Cooperation Society, Vol. 18, No. 1, pp. 95-106, 2017.   DOI
7 J. Lee, EEG and Subjective Analysis of Individual Characteristics of ASMR Sound, Master's Thesis of Hanyang-University, 2019.
8 J. Lee and J. Kim, "Analysis of The Relaxing Effect of ASMR Sound Contents," The Institute of Electronics and Information Engineers, Vol. 56, No. 3, pp. 139-145, 2019.   DOI
9 B. Fredborg, J. Clark, and S.D. Smith, "An Examination of Personality Traits Associated with Autonomous Sensory Meridian Response (ASMR)," Frontiers in Psychology, Vol. 8, No. 247, pp. 1-9, 2017.
10 D.H. Moon, "The Effect on Human Body by the Stimuli of Musics and Acoustic Vibrations," Journal of the Korea Society for Power System Engineering, Vol. 12, No. 5, pp. 59-64, 2008.
11 T. Kawada and S. Suzuki, "Sleep Induction Effects of Steady 60 dB (A) Pink Noise," Industrial Health, Vol. 31, No. 1, pp. 35-38, 1993.   DOI
12 U. Will and E. Berg, "Brain Wave Synchronization and Entrainment to Periodic Acoustic Stimuli," Neuroscience Letters, Vol. 424, No. 1, pp. 55-60, 2007.   DOI
13 B. Kim and M. Whang, "The Effect of White Noise and Pink Noise on the Brain Activity," The J ournal of the Korea Contents Association, Vol. 17, No. 5, pp. 491-498, 2017.
14 M. Kim and J. Seo, "A Control Method of ASMR Contents through Attention and Meditation Detection Based on Internet of Things," Digital Contents Society, Vol. 19, No. 9, pp. 1819-1824, 2018.   DOI
15 T. Inouye, K. Shinosaki, H. Sakamoto, S. Toi, S. Ukai, A. Iyama, et al., "Quantification of EEG Irregularity by Use of the Entropy of the Power Spectrum," Electroencephalography and Clinical Neurophysiology, Vol. 79, No. 3, pp. 204-210, 1991.   DOI
16 W.R.W. Omar, R. Jailani, M.N. Taib, R.M. Isa, and Z. Sharif, "Assessment of Acute Ischemic Stroke Brainwave Using Relative Power Ratio," Proceeding of IEEE 9th International Colloquium on Signal Processing and its Applications, pp. 310-313, 2013.
17 D. Petit, J.F. Gagnon, M.L. Fantini, L. Ferini-Strambi, and J. Montplaisir, "Sleep and Quantitative EEG in Neurodegenerative Disorders," Journal of Psychosomatic Research, Vol. 56, No. 5, pp. 487-496, 2004.   DOI
18 O. Benoit, A. Daurat, and J. Prado, "Slow (0.7-2 Hz) and Fast (2-4 Hz) Delta Components are Differently Correlated to Theta, Alpha and Beta Frequency Bands during NREM Sleep," Clinical Neurophysiology, Vol. 111, No. 12, pp. 2103-2106, 2000.   DOI