Sleep-disordered breathing detection method and device based on heart rate and breathing signal

The invention discloses a sleep-disordered breathing detection method and device based on a heart rate and a breathing signal. The sleep-disordered breathing detection method comprises the following steps: acquiring sleep physiological signals of a target in each sleep period, wherein the sleep physiological signals comprise a heart rate signal and a breathing signal; preprocessing the breathing signal so as to obtain a breathing outline signal; preprocessing the heart rate signal to obtain a uniform time sequence of a heart rate period; respectively extracting characteristic information of the breathing outline signal and the uniform time sequence, and acquiring corresponding priori knowledge of the sleep physiological signals according to a preset training sample set; generating a characteristic set according to the characteristic information, the priori knowledge and the target characteristics of the detected target, and confirming optimal characteristic subsets from the characteristic set by using a main component analysis method, so as to obtain a detection sample; matching the detection sample with a detection model obtained through sample set training, and outputting sleep-disordered breathing detection information according to the matching result. By adoption of the sleep-disordered breathing detection method and the sleep-disordered breathing detection device, the technical problem of a low sleep-disordered breathing detection accuracy rate can be solved.