Abstract
This paper aims to design and build snoring sound detecting u-shape pillow. Research operating includes four steps as (1) to study the problem of snoring, (2) to analyze the related information for develop the snoring sound detecting u shape pillow with designing the structure and sensory circuit inside the pillow. The u-shape has been designed as a neck supporter for user. The main part of project is the module having microphones that receive a sound of snoring. When a snoring sound was detected, the module will command the vibrating motor to work and alert the user to change his/her body posture. This change will help user stopping a snoring, which controlling by the C language programs, (3) to assess the quality of pillow detect snoring by five experts, (4) as result shown, the proposed pillow can detect snoring sound at 80% of accuracy based on testing with three different users.
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Satoshi, I., Satoshi, U., Nakamura, Y., Motegi, M., Ogawa, K., Shimokura, K.: A basic study of a pillow-shaped haptic device using a pneumatic actuator. In: IEEE International Symposium on Mechatronics and its Applications, Amman, 27–29 May 2008
Azarbarzin, A., Moussavi, A.: Snoring sounds variability as a signature of obstructive sleep apnea. Med. Eng. Phys. 35(4), 479–485 (2013)
Shumit, S., Mahsa, T., Zahra, M., Azadeh, Y.: Effects of changing in the neck circumference during sleep on snoring sound characteristics. In: International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2235–2238 (2015)
Jin, Z., Qian, Z., Wang, Y., Qiu, C.: A real-time auto-adjustable smart pillow system for sleep apnea detection and treatment. In: IPSN, pp. 179–190 (2013)
Wei, R., Li, X., Kim, H.S., Im, J.J., Kim, H.J.: A development of pillow for detection and restraining of snoring. In: IEEE International Conference on Biomedical Engineering and Informatics, pp. 1381–1385 (2010)
Rajendra, S., Shashikant, D.: Mobile operated anti-snoring pillow. In: IEEE International Conference on Environmental and Computer Science, pp. 441–444 (2009)
Hyung, G., Dong, W.: Intelligent pillow type wireless charger for fully implantable middle ear hearing device with a function of electromagnetic emission reduction. In: IEEE International Symposium on Intelligent Information Technology Application, pp. 835–838 (2008)
Zhu, X., Chen, W.: Automatic home care system for monitoring HR/RR during sleep. In: International IEEE EMBS Conference Vancouver, pp. 522–525, 20–24 August 2008
Kongsak, R., Nuntigar S.: Short-term outcomes of transoral radiofrequency somnoplasty treatment for snoring (2009). Shortterm outcomes of Transoral radiofrequency somnoplasty-treatment for snoring. http://www.rcot.org/download/
Azarbarzin, A., Zahra, M.: A comparison between recording sites of snoring sounds in relation to upper airway obstruction. In: International Conference of the IEEE EMBS, pp. 4246–4249 (2012)
Jee, D.K., Kim, H.S., Wei, R., Im, J.J.: A study for the development of PVDF vibration sensor and establishment of noise removal algorithm for snoring detection pillow. In: IEEE International Conference on Environmental Engineering and Informatics, pp. 1031–1035 (2011)
Boomidevi, R., Pandiyan, R., Rajasekaran, N.: Monitoring cardio respiratory and gesture recognition system using sensor pillow system. Int. Res. J. Eng. Technol. (IRJET) 2(8), 83–87 (2015)
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Pramkeaw, P., Lertritchai, P., Klangsakulpoontawee, N. (2017). Real-Time Snoring Sound Detecting U Shape Pillow System Using Data Analysis Algorithm. In: Numao, M., Theeramunkong, T., Supnithi, T., Ketcham, M., Hnoohom, N., Pramkeaw, P. (eds) Trends in Artificial Intelligence: PRICAI 2016 Workshops. PRICAI 2016. Lecture Notes in Computer Science(), vol 10004. Springer, Cham. https://doi.org/10.1007/978-3-319-60675-0_13
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DOI: https://doi.org/10.1007/978-3-319-60675-0_13
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