Name
Abstract | ||
|---|---|---|
•Proposed generalized DL model, namely, ST-CNN-GAP-5 for cardiac disease diagnosis.•Tested model on two large publicly available ECG datasets- PTB-XL and Arrhythmia.•Model outperformed the existing state-of-the-art methods on PTB-XL dataset.•Interpretability of the model tested using SHAP analysis.•Model highlights relevant alterations of the ECG waves as required by clinicians.•Developed model can support the clinicians in heart disease diagnosis. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.bspc.2022.103584 | Biomedical Signal Processing and Control |
Keywords | DocType | Volume |
Electrocardiogram,ECG Waves,Deep Learning,CNN,Residual Networks,SHAP,Interpretability,XAI | Journal | 75 |
ISSN | Citations | PageRank |
1746-8094 | 1 | 0.43 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Atul Anand | 1 | 1 | 0.43 |
| Tushar Kadian | 2 | 1 | 0.43 |
| Manu Kumar Shetty | 3 | 1 | 0.43 |
| Anubha Gupta | 4 | 1 | 0.43 |