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We proposed a completely unconstrained method for long-term monitoring sleep quality of residents in nursing homes using an Internet-based automatic sleep monitoring system, "Umemory". When a resident lies in bed, his/her heart pulsation, respiration, and body movement are sensed by a piezoelectric transducer under a mattress. The corresponding digital signal is sent to database servers...
We have proposed a network based system for long-term recording pulse rate (PR), respiration rhythm (RR), and body movement (BM) detected by a sensor unit placed beneath a pillow during sleep from pressure variations corresponding to changes in the heartbeat and respiratory motion. In this research, we studied the analysis of the long-term monitored PR, RR, and BM during sleep recorded by this system...
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