Modeling of oxygen saturation and respiration for sleep apnea detection
作者： Sandeep Gutta , Qi Cheng
DOI: 10.1109/ACSSC.2016.7869657
关键词:
摘要: Sleep apnea is a serious sleep disorder affecting millions of people. Combining different sensor data with the cardiorespiratory system models can greatly help to create better detection system. Oxygen saturation and respiration signals are most commonly used physiological for detection. In this paper, we propose new mathematical model relating oxygen level signal. The parameters estimated by solving nonlinear least square optimization problem. Experimental results on real show accuracy proposed model.
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