Towards an intelligent bed sensor: Non-intrusive monitoring of sleep disturbances via computer vision techniques
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Date
2008-12-18T00:40:40Z
Authors
Malakuti, Kaveh
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Abstract
Sleep related breathing irregularities and sleep disturbances affect a surprisingly large number of people in the society. Due to the high risks of chronic and acute health situations associated with sleep disturbances, a robust sleep monitoring system is needed. While the current golden standard for sleep monitoring is the Polysomnograph (PSG), other approaches also require attachments to patients' body. Furthermore, these monitoring techniques are performed in sleep clinics. Therefore, they interfere with natural sleep patterns. Finally these techniques are usually expensive. The Intelligent Bed Sensor is proposed as a non-restraining home-based sleep monitoring system. It uses 144 pressure sensors embedded in a bed sheet for measuring the pressure that the patient's body exerts on the bed. The main theoretical contribution of this work is a new methodology for analyzing periodicity in pressure data via Computer Vision techniques. We prove that the Intelligent Bed Sensor is capable of detecting individual respiration cycles, apnea events and movements accurately.
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Keywords
Sleep Monitoring, Computer Vision