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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...
A noninvasive and unconstrained real-time method to detect the respiration rhythm and pulse rate during sleep is presented. By employing the agrave trous algorithm of the wavelet transformation (WT), the respiration rhythm and pulse rate can be monitored in real-time from a pressure signal acquired with a pressure sensor placed under a pillow. The waveform for respiration rhythm detection is derived...
A real-time noninvasive and unconstrained method is proposed to determine the respiratory rhythm and pulse rate with an under-pillow sensor during sleep. The sensor is composed of two fluid-filled polyvinyl tubes set in parallel and sandwiched between two acrylic plates. One end of each tube is hermetically sealed, and the other end is connected to one of two pressure sensors. Inner pressure in each...
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