作者: Fangyu Li , Jose Clemente , WenZhan Song
DOI: 10.1109/GLOBALSIP.2018.8646672
关键词:
摘要: Monitoring sleep quality and status is important to learn health condition for improvement prevent apnea. A bed-mounted seismometer system proposed monitor the heart respiratory rates, body movement posture, during sleep. To effectively status, an innovative local maxima statistics based approach instantaneous property method are developed estimate respectively. These methods more robust stable compared previous works. Besides, algorithms posture identification also investigated on properties. prototype demonstrated, showing great potentials in monitoring a person’s under different conditions.