以臨床試驗評估壓力感測枕頭於睡眠監測之準確度研究

郭宇仁

doi:10.6342/NTU.2013.01586

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Basic & Applied Sciences > Information Science
Health & Medical Care > Medical Sciences
College of Electrical Engineering & Computer Science > Graduate Institute of Biomedical Electronics and Bioinformatics

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以臨床試驗評估壓力感測枕頭於睡眠監測之準確度研究

Validation of Sensor Pillow System for Sleep Monitoring with Clinical Trial

郭宇仁 , Masters　　Advisor：郭德盛　　Co-advisor ：賴金鑫;陸哲駒

繁體中文 DOI： 10.6342/NTU.2013.01586

睡眠監測系統；壓力感測枕頭；健康風險分級機制；臨床試驗；演算法最佳化； sleep monitoring system ； sensor pillow system ； the classification platform of health risk ； clinical trial ； algorithm optimization

Abstract │ Reference (14) │ Altmetrics

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In order to provide a simple and effective in-home sleep monitoring system, this research applies a non-invasive and user-friendly sensor pillow system to acquire pressure data during sleep. The system can alleviate the interference from monitoring sensors for comfortableness of the user.
Because the area of these pressure sensors is limited, there is an algorithm designed for improving the accuracy for detection of trunk movement instead of head motion only. The acquired pressure signals, such as occupancy and sleep movement, are processed and distinguished by some thresholds, and then output as sleep report.
Besides the use of sleep monitoring system, the classification platform of health risk is included to integrate automated warning and vital sign measurement. The platform provides a user with analysis of health data and then uploads data into remote database. Also, it will send message to user’s emergency contact persons when the user is probably in jeopardy.
After clinical trial for 30 subjects, its accuracy of the sleep monitoring system is measured, and the optimal parameters are acquired. The result shows the sensor pillow system after optimization with proper algorithm can accurately monitor pressure signals in real-time to distinguish occupancy and sleep movement information.

Reference ( 14 ) 〈TOP〉

[4] J. M. Siegel. (2003) Why We sleep. Scientific American. 92-97.
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[5] D. C. S. Committee, "International classification of sleep disorders: diagnostic and coding manual," Rochester, MN: American Sleep Disorders Association, pp. 38-43, 1990.
連結：
[7] Y. Nishida and T. Hori, "Non-invasive and unrestrained monitoring of human respiratory system by sensorized environment," in Sensors, 2002. Proceedings of IEEE, 2002, pp. 705-710 vol.1.
連結：
[8] M. Howell Jones, A. Arcelus, R. Goubran, and F. Knoefel, "A Pressure Sensitive Home Environment," in Haptic Audio Visual Environments and their Applications, 2006. HAVE 2006. IEEE International Workshop on, 2006, pp. 10-14.
連結：
[9] S. Jae Hyuk, C. Young Joon, J. Do-Un, and P. Kwang-Suk, "Nonconstrained Sleep Monitoring System and Algorithms Using Air-Mattress With Balancing Tube Method," Information Technology in Biomedicine, IEEE Transactions on, vol. 14, pp. 147-156, 2010.
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