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Sleep Pattern Study with Respect to Binaural Beats Using Sensors and Mobile Application

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Abstract

Sleep disorders are common among people in the present lifestyle and this may occur due to irregular sleep patterns. The disordered sleep pattens arise due to various reasons and can be prevented by ensuring a relaxed and deep sleep for everyone. Binaural beats are the stimuli that are set to a particular rhythm and generated to get the required audio frequency to synchronize with the brainwaves. This paper focuses on the effects and analysis of binaural beat response on the brain waves of adults and how they help to induce sleep for an individual. This work highlights the results that were obtained by performing the real time hardware experiments accordingly. The head movement is recorded from the experiment using the readings from the accelerometer and gyroscope sensors which are depicted by the angle coordinates based on two conditions, first when the subjects fall asleep without application of binaural beats and second when minimal frequency of binaural beats are applied close to their ears. Using the real time hardware experiment values, an application is created to differentiate the cases of with and without binaural beats application. In order to validate the real time experiment with an application, a statistical analysis is done from the obtained real time hardware results depicting the sleep pattern by performing corresponding tests.

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References

  1. Alexandru, B. V., Róbert, B., Viorel, L., & Vasile, B. (2009). Treating primary insomnia: A comparative study of self-help methods and progressive muscle relaxation. Journal of Evidence-Based Psychotherapies, 9(1), 67.

    Google Scholar 

  2. Chang, L., Lu, J., Wang, J., Chen, X., Fang, D., Tang, Z., & Wang, Z. (2018). SleepGuard: capturing rich sleep information using smartwatch sensing data. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(3), 1–34.

    Article  Google Scholar 

  3. Kwasnicki, R. M., Cross, G. W., Geoghegan, L., Zhang, Z., Reilly, P., Darzi, A., & Emery, R. (2018). A lightweight sensing platform for monitoring sleep quality and posture: a simulated validation study. European Journal of Medical Research, 23(1), 28.

    Article  Google Scholar 

  4. Boe, A. J., Koch, L. L. M., O’Brien, M. K., Shawen, N., Rogers, J. A., Lieber, R. L., & Jayaraman, A. (2019). Automating sleep stage classification using wireless, wearable sensors. NPJ digital medicine, 2(1), 1–9.

    Article  Google Scholar 

  5. Atwater, F. H. (1997). Accessing anomalous states of consciousness with a binaural beat technology. Journal of scientific exploration, 11(3), 263–274.

    Google Scholar 

  6. Vesely, M., & Clemens, N. (2006). U.S. Patent Application No. 11/292,382.

  7. Song, C. B., Kwak, N. S., Lee, M., & Lee, S. W. (2019, February). The Effect of a Binaural Beat Combined with Autonomous Sensory Meridian Response Triggers on Brainwave Entrainment. In 2019 7th International Winter Conference on Brain-Computer Interface (BCI) (pp. 1–4). IEEE.

  8. Filimon, R. C. (2010, June). Beneficial subliminal music: binaural beats, hemi-sync and metamusic. In of the 11th WSEAS international conference on Acoustics & music: theory & applications (pp. 103–108).

  9. Curtis, D., Unit, E. M., & Conservatorium, E. (2007). Binaural beats, brain wave entrainment and the hemi-sync process. Electronic Music Unit. Elder Conservatorium. University of Adelaide

  10. Chaieb, L., Wilpert, E. C., Reber, T. P., & Fell, J. (2015). Auditory beat stimulation and its effects on cognition and mood states. Frontiers in Psychiatry, 6, 70.

    Article  Google Scholar 

  11. Le Scouranec, R. P., Poirier, R. M., Owens, J. E., & Gauthier, J. (2001). Use of binaural beat tapes for treatment of anxiety: a pilot study of tape preference and outcomes. Alternative Therapies in Health and Medicine, 7(1), 58.

    Google Scholar 

  12. Padmanabhan, R., Hildreth, A. J., & Laws, D. (2005). A prospective, randomised, controlled study examining binaural beat audio and pre-operative anxiety in patients undergoing general anaesthesia for day case surgery. Anaesthesia, 60(9), 874–877.

    Article  Google Scholar 

  13. Kraus, J., & Porubanová, M. (2015). The effect of binaural beats on working memory capacity. StudiaPsychologica, 57(2), 135.

    Google Scholar 

  14. Beauchene, C., Abaid, N., Moran, R., Diana, R. A., & Leonessa, A. (2016). The effect of binaural beats on visuospatial working memory and cortical connectivity. PLoS ONE, 11(11), e0166630.

    Article  Google Scholar 

  15. Larson, M. C., & McClure, J. (2017). U.S. Patent No. 9,764,110. Washington, DC: U.S. Patent and Trademark Office.

  16. Jirakittayakorn, N., & Wongsawat, Y. (2018). A novel insight of effects of a 3-Hz binaural beat on sleep stages during sleep. Frontiers in Human Neuroscience, 12, 387.

    Article  Google Scholar 

  17. On, F. R., Jailani, R., Norhazman, H., & Zaini, N. M. (2013). Binaural beat effect on brainwaves based on EEG. In 2013 IEEE 9th International Colloquium on Signal Processing and its Applications (pp. 339–343). IEEE.

  18. Ala, T. S., Ahmadi-Pajouh, M. A., & Nasrabadi, A. M. (2018). Cumulative effects of theta binaural beats on brain power and functional connectivity. Biomedical Signal Processing and Control, 42, 242–252.

    Article  Google Scholar 

  19. Abdulla, S., Diykh, M., Laft, R. L., Saleh, K., & Deo, R. C. (2019). Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm. Expert Systems with Applications, 138, 112790.

    Article  Google Scholar 

  20. Gupta, A., Ramdinmawii, E., & Mittal, V. K. (2016, December). Significance of Alpha Brainwaves in Meditation examined from the study of Binaural Beats. In 2016 International Conference on Signal Processing and Communication (ICSC) (pp. 484–489). IEEE.

  21. McMurray, J. C. (2004). Auditory binaural beats enhance EEG-measured beta wave activity in individuals with ADHD (Doctoral dissertation, California State University, Northridge).

  22. van Hees, V. T., Sabia, S., Jones, S. E., Wood, A. R., Anderson, K. N., Kivimäki, M., & Weedon, M. N. (2018). Estimating sleep parameters using an accelerometer without sleep diary. Scientific Reports, 8(1), 1–11.

    Google Scholar 

  23. Kurata, M. (2005). U.S. Patent Application No. 10/525,925.

  24. Nam, Y., Kim, Y., & Lee, J. (2016). Sleep monitoring based on a tri-axial accelerometer and a pressure sensor. Sensors, 16(5), 750.

    Article  Google Scholar 

  25. Huynh, Q. T., Nguyen, U. D., Irazabal, L. B., Ghassemian, N., & Tran, B. Q. (2015). Optimization of an accelerometer and gyroscope-based fall detection algorithm. Journal of Sensors, 2015, 1–8.

    Article  Google Scholar 

  26. Zhu, G., Li, Y., & Wen, P. (2014). Analysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal. IEEE Journal of Biomedical and Health Informatics, 18(6), 1813–1821.

    Article  Google Scholar 

  27. Cox, R., & Fell, J. (2020). Analyzing human sleep EEG: A methodological primer with code implementation. Sleep Medicine Reviews, 54, 101353.

    Article  Google Scholar 

  28. Muñoz, J. P., & Rivera, L. A. (2020). Towards Improving Sleep Quality Using Automatic Sleep Stage Classification and Binaural Beats. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 4982–4985). IEEE.

  29. Song, C. B., Lee, M., & Lee, S. W. (2019). Possible effect of binaural beat combined with autonomous sensory meridian response for inducing sleep. Frontiers in Human Neuroscience, 13, 425.

    Google Scholar 

  30. Abeln, V., Kleinert, J., Strüder, H. K., & Schneider, S. (2014). Brainwave entrainment for better sleep and post-sleep state of young elite soccer players–A pilot study. European Journal of Sport Science, 14(5), 393–402.

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Electronics Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, India

    R. Rishika, Aditya Gupta, Sakshi Sinha & S. Sofana Reka

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  1. R. Rishika
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  2. Aditya Gupta
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  3. Sakshi Sinha
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  4. S. Sofana Reka
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Correspondence to S. Sofana Reka.

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Rishika, R., Gupta, A., Sinha, S. et al. Sleep Pattern Study with Respect to Binaural Beats Using Sensors and Mobile Application. Wireless Pers Commun 119, 941–957 (2021). https://doi.org/10.1007/s11277-021-08245-1

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