Identification of phonocardiogram signal based on STFT and Marquart Lavenberg Backpropagation

Auscultation is one of method that has been used by doctor in the process to identify heart disease. But with only using auscultation is not possible to obtain quantitative data, because relating to the skills, experience and subjectivity doctor, for it to be made a program that can help doctors to identify heart abnormalities. Short Time Fourier Transform is used to analyze the frequency and timing of the patterns of normal and abnormal heart sounds. With the method of Levenberg Marquardt Back propagation expected 10 class heart sound can be identified with a good. The results showed that the accuracy will be higher when the number of neurons increased. When neurons 25 produce more accurate results with accuracy percentage is higher and more stable for each class. Where the highest accuracy is on the holo diastolic murmur class and the Normal Heart class with accuracy up to 99,9999%.