Synthetic ECG data from diffusion and VQ-VAE models provides only marginal classification gains on individual datasets, a small boost when datasets are merged, and cannot replace real data in transfer learning.
Biomedical Data Sharing and Reuse: Attitudes and Practices of Clinical and Scientific Research Staff,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Synthetic ECG Generation for Data Augmentation and Transfer Learning in Arrhythmia Classification
Synthetic ECG data from diffusion and VQ-VAE models provides only marginal classification gains on individual datasets, a small boost when datasets are merged, and cannot replace real data in transfer learning.