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NON-INTRUSIVE AND NON-CONTACT SLEEP MONITORING WITH SEISMOMETER

Citation Author(s):
Fangyu Li, Jose Clemente, WenZhan Song
Submitted by:
Fangyu Li
Last updated:
18 November 2018 - 4:25pm
Document Type:
Presentation Slides
Document Year:
Event:
Presenters Name:
Fangyu Li
Paper Code:
1290

Abstract 

Abstract: 

Monitoring sleep quality and status is important to learn health condition for improvement and prevent sleep apnea. A bed-mounted seismometer system is proposed to monitor the heart and respiratory rates, and body movement and posture, during the sleep. To effectively monitor sleep status, an innovative local maxima statistics based approach and an instantaneous property based method are developed to estimate heart and respiratory rates, respectively. These methods are more robust and stable compared to previous works. Besides, algorithms for body movement and posture identification are also investigated based on instantaneous properties. A prototype system is demonstrated, showing great potentials in monitoring a person’s sleep status under different conditions.

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Dataset Files

globalsip-sleep-monitoring.pdf

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