Heart sound connected network feature extraction method based on frequency correlation

The invention discloses a heart sound connected network feature extraction method based on frequency correlation. According to the method, multi-channel heart sound pickup part points are used as network nodes, frequency correlation among the nodes is calculated, and a modular heart sound communication network is constructed on a large-scale level according to auscultation area division, so that feature extraction of the communication network is realized. Heart sound signals at different positions in the auscultation area module can be collected at the same time, and multi-channel heart sounddata with more physiological significance and physical significance than single-channel data is obtained; frequency correlation analysis and correlation matrix establishment are carried out; accordingto the method, isolated and dispersed data information is effectively and organically integrated together, so that the heart sound characteristics are extracted and represented, the heart sound communication network character