DocumentCode :
3672669
Title :
SleepSense: Non-invasive sleep event recognition using an electromagnetic probe
Author :
Yan Zhuang;Chen Song;Aosen Wang;Feng Lin;Yiran Li;Changzhan Gu;Changzhi Li;Wenyao Xu
Author_Institution :
Department of Computer Science and Engineering, SUNY at Buffalo, New York, USA
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
6
Abstract :
Sleep monitoring is receiving increased attention in the healthcare community, because the quality of sleep has a great impact on human health. Existing in-home sleep monitoring devices are either obtrusive to the user or cannot provide adequate sleep information. To this end, we present SleepSense, a contactless and low-cost sleep monitoring system for home use that can continuously detect the sleep event. Specifically, SleepSense consists of three parts: an electromagnetic probe, a robust automated radar demodulation module, and a signal processing framework for sleep event recognition, including on-bed movement, bed exit, and breathing event. We present a prototype of the SleepSense system, and perform a set of comprehensive experiments to evaluate the performance of sleep monitoring. Using a real-case evaluation, experimental results indicate that SleepSense can perform effective sleep event detection and recognition in practice.
Keywords :
"Feature extraction","Electromagnetics","Probes","Monitoring","Baseband","Frequency-domain analysis","Data acquisition"
Publisher :
ieee
Conference_Titel :
Wearable and Implantable Body Sensor Networks (BSN), 2015 IEEE 12th International Conference on
Type :
conf
DOI :
10.1109/BSN.2015.7299364
Filename :
7299364
Link To Document :
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