Name
Title | ||
|---|---|---|
Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals. |
Abstract | ||
|---|---|---|
•Classification of normal, DCM, HCM and MI ECG signals.•Four seconds of ECG segments are used.•Nonlinear features are extracted from DWT decomposition.•Feature selection is done using SFS and ReliefF method.•Obtained accuracy of 99.27% using 15 features with kNN classifier. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cmpb.2018.04.018 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Cardiovascular disease,Dilated cardiomyopathy,Hypertrophic cardiomyopathy,Myocardial infarction,Electrocardiogram,Discrete wavelet transform | Computer vision,Signal processing,Sample entropy,Pattern recognition,Computer science,Energy (signal processing),Discrete wavelet transform,Artificial intelligence,Classifier (linguistics),Hypertrophic cardiomyopathy,Spec#,Wavelet | Journal |
Volume | ISSN | Citations |
161 | 0169-2607 | 4 |
PageRank | References | Authors |
0.46 | 18 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Adam | 1 | 407 | 16.51 |
| Shu Lih Oh | 2 | 536 | 25.57 |
| Vidya Sudarshan | 3 | 208 | 14.19 |
| Joel E. W. Koh | 4 | 266 | 19.06 |
| Yuki Hagiwara | 5 | 641 | 29.34 |
| Jen-Hong Tan | 6 | 745 | 32.04 |
| Ru-San Tan | 7 | 239 | 22.37 |
| Rajendra Acharya U | 8 | 4666 | 296.34 |