Paper Info
Title
Classification of heart sound signal using curve fitting and fractal dimension.
Abstract
•Cardiovascular disease is one of the major causes of mortality worldwide.•Traditionally auscultation is a noninvasive, cheap and simple method for diagnosing diseases.•Segmentation step was eliminated because a lot of its problems.•The information of PCG signal sequence is obtained by using the curve fitting method.•PCG signal is self-similar and crumpled in murmur’s location so considered as fractal.
Year
DOI
Venue
2018
10.1016/j.bspc.2017.08.002
Biomedical Signal Processing and Control
Keywords
Field
DocType
Heart sound signal,Fractal dimension,MFCC,Curve fitting,Feature extraction,Automatic classification
Audio signal,Mel-frequency cepstrum,Computer vision,Curve fitting,Pattern recognition,Segmentation,Euclidean distance,Fractal,Feature extraction,Artificial intelligence,Mathematics,Wavelet transform
Journal
Volume
ISSN
Citations 
39
1746-8094
5
PageRank 
References 
Authors
0.47
5
3
Name
Order
Citations
PageRank
Maryam Hamidi150.81
Hassan Ghassemian239634.04
Maryam Imani3618.65