Name
Title | ||
|---|---|---|
Detection of cardiac abnormality from PCG signal using LMS based least square SVM classifier |
Abstract | ||
|---|---|---|
Auscultation, the technique of listening to heart sounds with a stethoscope can be used as a primary detection system for diagnosing heart valve disorders. Phonocardiogram, the digital recording of heart sounds is becoming increasingly popular as it is relatively inexpensive. In this paper, a technique to improve the performance of the Least Square Support Vector Machine (LSSVM) is proposed for classification of normal and abnormal heart sounds using wavelet based feature set. In the proposed technique, the Lagrange multiplier is modified based on Least Mean Square (LMS) algorithm, which in turn modifies the weight vector to reduce the classification error. The basic idea is to enlarge the separating boundary surface, such that the separability between the clusters is increased. The updated weight vector is used at the time of testing. The performance of the proposed systems is evaluated on 64 different recordings of heart sounds comprising of normal and five different pathological cases. It is found that the proposed technique classifies the heart sounds with higher recognition accuracy than competing techniques. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.eswa.2010.05.088 | Expert Syst. Appl. |
Keywords | Field | DocType |
square svm classifier,diagnosing heart valve disorder,cardiac abnormality,least mean square (lms),classification of heart sounds,murmurs,proposed technique,square support,heart sound,mean square,classification error,different pathological case,proposed system,phonocardiogram (pcg),heart sounds,different recording,abnormal heart,support vector machine (svm),least squares support vector machine,least square,lagrange multiplier,least mean square,lms algorithm,support vector machine | Phonocardiogram,Computer science,Artificial intelligence,Auscultation,Wavelet,Heart sounds,Stethoscope,Pattern recognition,Support vector machine,Heart valve disorder,Speech recognition,Cardiac abnormality,Machine learning | Journal |
Volume | Issue | ISSN |
37 | 12 | Expert Systems With Applications |
Citations | PageRank | References |
21 | 1.08 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Samit Ari | 1 | 66 | 8.28 |
| Koushik Hembram | 2 | 21 | 1.08 |
| Goutam Saha | 3 | 255 | 23.17 |