1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Enhancing AI-Based ECG Delineation with Deep Learning Denoising Techniques
Jeff Breeding-Allison, Emil Walleser
Evaluating canine electrocardiograms (ECGs) is challenging due to noise that can obscure clinically relevant cardiac electrical activity. Common sources of interference include res…
eess.SP2023★ 1 cited
PulseNet: Deep Learning ECG-signal classification using random augmentation policy and continous wavelet transform for canines
Andre Dourson, Roberto Santilli, Federica Marchesotti +8
Evaluating canine electrocardiograms (ECG) require skilled veterinarians, but current availability of veterinary cardiologists for ECG interpretation and diagnostic support is limi…