UAMAC fuses a BiLSTM on raw ECG and a Vision Transformer on Gramian Angular Field images via a Dempster-Shafer-style rule, achieving 98.8% and 99.5% accuracy on MIT-BIH and INCART.
A dilated residual vision transformer for atrial fibrillation detection from stacked time-frequency ecg representations,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.SP 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Uncertainty-Aware Multi-view Arrhythmia Classification from ECG
UAMAC fuses a BiLSTM on raw ECG and a Vision Transformer on Gramian Angular Field images via a Dempster-Shafer-style rule, achieving 98.8% and 99.5% accuracy on MIT-BIH and INCART.