The Application of Wavelet Threshold De-noising in Mobile Oxygen Saturation Monitoring Software

Oxygen saturation is an important parameter of human body . It needs to be monitored on many occasions. In this thesis , based on theories of reflective pulse oxygen saturation of non-invasive monitoring, the writer us es the knowledge of image processing, designed a smart mobile oxygen saturation monitoring software, and lays an emphasis on how to select proper wavelet threshold de-noising algorithm to be appl ied in to oxygen saturation monitoring software, and to evaluate its accuracy. The experimental results show that the Coiflet wavelet de-noising algorithm can improve the accuracy of oxygen saturation measurement.