基于陶瓷压电传感器的睡眠检测系统
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摘要
针对现有的睡眠检测系统中的设计缺陷,及在睡眠过程中的呼吸率检测不准确的问题,设计了一种基于陶瓷压电传感器的睡眠检测系统,提出了睡眠检测算法,检测睡眠过程中的呼吸率与翻身次数。通过对乳胶床垫下压电传感器布局设计,采集使用者睡眠过程中压电传感器的信号,经过通道选择算法、呼吸检测算法与翻身判别补偿算法得到周期内测试者的呼吸率与翻身次数。实验结果表明:系统对呼吸判别的准确率高达96%,翻身检测的准确率高达95. 5%,同时系统具有较好的检测舒适性。
Aiming at problems of design defects in current sleep detection system and inaccurate respiratory detection during sleep,a sleep detection system based on ceramic piezoelectric sensors is designed and a sleep detection algorithm is proposed to detect respiratory and turn-over times. The piezoelectric sensors are allocated under the latex mattress and collects the piezoelectric signal during sleep,then using channel selection algorithm breathing algorithm,and turn-over disthinguish compensation algorithm to obtain respiration rate and turn-over frequency in period. The experimental results show that breathing discriminant accuracy of the system is up to96 %,turn-over detection accuracy is up to 95. 5 %,and the system has better detection comfort.
Aiming at problems of design defects in current sleep detection system and inaccurate respiratory detection during sleep,a sleep detection system based on ceramic piezoelectric sensors is designed and a sleep detection algorithm is proposed to detect respiratory and turn-over times. The piezoelectric sensors are allocated under the latex mattress and collects the piezoelectric signal during sleep,then using channel selection algorithm breathing algorithm,and turn-over disthinguish compensation algorithm to obtain respiration rate and turn-over frequency in period. The experimental results show that breathing discriminant accuracy of the system is up to96 %,turn-over detection accuracy is up to 95. 5 %,and the system has better detection comfort.
引文
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[2]慈书平,张希龙,杨宇,等.睡眠与睡眠疾病(精)[M].北京:军医科学出版社,2005.
[3]李彬,谢翟,段渭军,等.基于Kinect的非接触式呼吸检测系统[J].传感器与微系统,2017,36(3):107-109.
[4] PAALASMAA J,WARIS M,TOIVONEN H,et al. Unobtrusive online monitoring of sleep at home[C]∥International Conference of the IEEE Engineering in Medicine and Biology Society,IEEE,2012:3784-3788.
[5] JIA Z,HOWARD R E,ZHANG Y,et al. Demo abstract:HBphone:A bed-mounted geophone-based heartbeat monitoring system[C]∥ACM/IEEE International Conference on Information Processing in Sensor Networks,IEEE,2017:22.
[6]张言飞,欧阳健飞,姚丽峰.基于快速人脸检测的实时呼吸测量系统的设计[J].计算机工程与应用,2016,52(2):256-261.
[7]肖小玉,黄善洛,陈淑靖,等.一种基于压力传感器的穿戴式呼吸监测系统设计[J].传感器与微系统,2016,35(2):126-129.
[8]田森富,皮喜田,黄永红,等.基于反馈控制的自调整慢呼吸训练降压系统设计[J].传感器与微系统,2017,36(10):115-117.
[9]朱莹莹,安山,杨军,等.一种基于床垫式睡眠监测系统的呼吸波补偿算法[J].电子测量与仪器学报,2009,23(4):55-59.
[10] WANG M,DAI P,CHEN F,et al. A matress system for human bio-signals monitoring[C]∥Prognostics and System Health Management,IEEE,2012:1-5.
[11]潘玉安,曹荣祥,曹良足,等.压电陶瓷传感器灵敏度的研究[J].压电与声光,2005,27(2):128-130.
[12]范伟,林瑜阳,李钟慎.压电陶瓷驱动器的迟滞特性[J].光学精密工程,2016,24(5):1112-1117.