TY - GEN
T1 - Identification of phonocardiogram signal based on STFT and Marquart Lavenberg Backpropagation
AU - Faradisa, Irmalia Suryani
AU - Anggriawan, Dimas Okky
AU - Sardjono, Tri Arief
AU - Purnomo, Mauridhi Heri
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/20
Y1 - 2017/1/20
N2 - 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%.
AB - 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%.
KW - Marquart Lavenberg Backpropagation
KW - STFT
KW - phonocardiography
UR - http://www.scopus.com/inward/record.url?scp=85015366766&partnerID=8YFLogxK
U2 - 10.1109/ISITIA.2016.7828628
DO - 10.1109/ISITIA.2016.7828628
M3 - Conference contribution
AN - SCOPUS:85015366766
T3 - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy
SP - 25
EP - 30
BT - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Y2 - 28 July 2016 through 30 July 2016
ER -
