Sleep apnea syndrome detection method based on pulse and blood oxygen signals

The invention relates to a sleep apnea syndrome detection method based on pulse and blood oxygen signals. The method includes: digging characteristic parameters related to SAS (statistical analysis system) from the pulse and blood oxygen signals by means of probability principal component analysis, setting up an SAS detection characteristic matrix, adopting a pouch decision tree for mapping the relation between the characteristic matrix and SAS disease degrees, and setting up an SAS detection model. By means of probability principal component analysis, input data dimensionality is decreased while quality of the characteristic matrix is improved; owing to the pouch decision tree, SAS detection accuracy is improved; by utilization of the sleep apnea syndrome detection method based on the pulse and blood oxygen signals, the SAS disease degrees of testees can be outputted only by inputting the pulse and blood oxygen signals of the testees.