| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6905080 | Applied Soft Computing | 2015 | 8 Pages |
Abstract
- Respiratory sound signals are prepossessed and respiratory cycles are segmented.
- S-transform based statistical features were extracted.
- The features were classified using KNN, SVM and ELM classifier.
- Accuracy of 94.99%, 96.85% and 98.52% for KNN, SVM and ELM, respectively.
- Telemedicine software was developed using ELM classifier.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Rajkumar Palaniappan, Kenneth Sundaraj, Sebastian Sundaraj, N. Huliraj, S.S. Revadi,