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 uses 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 applied into 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.