Heart murmur extraction and heart impairments identification using fuzzy controller

A method, comprising:

• receiving data associated with a heart signal;
• extracting, using a processor, features within the data corresponding to at least one of a systole cycle and a diastole cycle comprising dividing a quasi periodic heart signal into multiple regions, the multiple regions comprising the systole cycle and a diastole cycle;
• and
• determining a nature of a heart murmur based on the extracted features comprising:
• determining a value associated with discriminating features in the multiple regions,
• determining whether an innocent heart murmur or a pathological heart murmur is present using the discriminating features comprising a systole energy value, a diastole energy value, a systole center frequency, and a diastole center frequency, and
• converting the discriminating features comprising the systole energy value, the diastole energy value, the systole center frequency, and the diastole center frequency into fuzzy values,
• wherein the diastole center frequency of a diastole period is determined by weighing the energy in each region, and
• the discriminating features comprises a maximum energy, the maximum energy being at a different regions for systole periods and for diastole periods, the systole center frequency having a maximum energy and the diastole center frequency having a maximum energy are input to a fuzzy controller.