Name
Title | ||
|---|---|---|
Detection of ventricular tachycardia and fibrillation using adaptive variational mode decomposition and boosted-CART classifier. |
Abstract | ||
|---|---|---|
•An adaptive variational mode decomposition (adaptive-VMD) algorithm is proposed.•Compare with VMD, the proposed algorithm can better capture the details of ECG.•No feature selection procedure is needed in the proposed VT/VF detection method.•Proposed VT/VF detection method achieves an excellent overall performance on public databases. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.bspc.2017.07.031 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Ventricular arrhythmias detection,Adaptive variational mode decomposition,CART,Cross-validation | Fibrillation,Ventricular fibrillation,Pattern recognition,Feature selection,Variational mode decomposition,Internal medicine,Cart,Computer science,Cardiology,Ventricular tachycardia,Artificial intelligence,Classifier (linguistics) | Journal |
Volume | ISSN | Citations |
39 | 1746-8094 | 2 |
PageRank | References | Authors |
0.36 | 18 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Xu | 1 | 118 | 41.02 |
| Dong Wang | 2 | 104 | 22.28 |
| Wei-gong Zhang | 3 | 4 | 1.41 |
| Peng Ping | 4 | 2 | 0.36 |
| Lihang Feng | 5 | 2 | 0.36 |