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ECG Generation on ECGRDVQ and ECGDMMLD (test)

90.29QTc AccuracyMM-DADM
61.232468.776276.3283.8638Feb 11, 2025

Evaluation results

MethodLinks
MM-DADMMethod Category=Flow Matching Model2025.0290.2987.591.1491.1892.1693.45
DiffECGMethod Category=Diffusion Model2025.0283.4877.583.6582.3585.8685.45
SSSD-ECGMethod Category=Diffusion Model2025.0282.117584.1685.2984.584.36
FlowECGMethod Category=Flow Matching Model2025.0281.437583.1379.4183.8282.91
BioDiffusionMethod Category=Diffusion Model2025.0280.4172.585.0179.4183.8283.64
WGANMethod Category=Generative Adversarial Network2025.0274.967574.9673.5378.5380.36
StyleGANMethod Category=Generative Adversarial Network2025.0273.597075.1373.5377.3478.55
CECG-GANMethod Category=Generative Adversarial Network2025.0273.597572.9170.5978.1977.09
TTS-CGANMethod Category=Generative Adversarial Network2025.0270.5372.570.5376.4783.4882.55
ECG ODE-GANMethod Category=Generative Adversarial Network2025.0263.25562.6958.8274.1172.73
Auto-TTEMethod Category=Variational Autoencoder2025.0262.356072.467.6571.5573.45