1 |
G. D. Clifford, C. Liu, B. Moody, D. Springer, I. Silva, Q. Li & R. G. Mark. (2016). Classification of Normal/Abnormal Heart Sound Recordings : the PhysioNet/Computing in Cardiology Challenge 2016. Computing in Cardiology 2016, 43, ISSN:2325-887X. DOI : 10.22489/CinC.2016.179-154
|
2 |
CLASSIFICATION OF NORMAL/ABNORMAL HEART SOUND RECORDINGS:THE PHYSIONET/ COMPUTING IN CARDIOLOGY CHALLENGE 2016. http://physionet.org/challenge/2016
|
3 |
G. Amit, K. Shukha, N. Gavriely & N. Intrator.(2009). Respiratory modulation of heart sound morphology. Am. J. Physiol. Heart Circ. Physiol, 296(3), H796-H805.
DOI
|
4 |
H. Y. Liang, L. Sakari & H. Iiro. (1997). A heart sound segmentation algorithm using wavelet decomposition and reconstruction. Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, ; IEEE: Chicago, IL, pp 1630-1633.
|
5 |
S. B. Shinde & A. Priyadarshi. (2013). Diagnosis of Heart Disease Using Data Mining Tehnique. International Journal of Science and Research(USR),ISSN(Online), 2319-7064.
|
6 |
G. E. Guraksin & H. Uguz. (2011). Classification of heart sounds based on the least squares support vector machine. International Journal of Innovative Computing, Information and Control, 7(12), 7131-7144.
|
7 |
S. H. Eum. (2015). A study of Classification of Heart Murmurs using Shannon Entropy and Neural Network. The Journal of Korea Insitiute of signal Processing and System, 16(4), 134-138.
|
8 |
J. S. Choi. (1989). Heart Sounds and Murmurs, Hyunmon, Seoul.
|
9 |
Y. J. Lee & G. H. Lee. (2016). Heart Murmur Detection Algorithm based on Spectral Flatness. Journal of Korea Multimedia society, 19(3), 557-566.
DOI
|
10 |
W. Hang S. H. Kim & K. S. Bae. (2010). Hidden Markov model with heart sound signals for identification of heart diseases. Proceedings of 20th international Congress on Acoustics, ICA 2010, 23-27.
|
11 |
T. Nilanon, J. Yao & J. Hao. (2016). Normal/abnormal heart sound recordings classification using convolutional neural network. In Computing in Cardiology Conference (CinC), (pp. 585-588). IEEE.
|
12 |
S. Kofman, A. Bickel & A. Eitan. (2012) Discovery of multiple level heart-sound morphological variability resulting from changes in physiological states. Biomedical Signal Processing and Control, 7(4), 315-324.
DOI
|
13 |
L. Jia, D. Song, L. Tao, & Y. Lu. (2012). Heart Sounds Classification with a Fuzzy Neural Network Method with Structure Learning, Advances in Neural Networks. Lecture Notes in Computer Science, 7368, 130-140.
|