PCAECG-GAN K-fold experiment table.

<div><p>With over a century of development, electrocardiogram (ECG) diagnostics has become the preferred tool for healthcare professionals in cardiovascular disease diagnosis and monitoring. As wearable devices and mobile monitoring technologies become widespread, ECG data are trending t...

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Hlavní autor:	Chao Tang (10925) (author)
Vydáno:	2025
Témata:	Genetics Biotechnology Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified trending toward diversity stage conditional encoding resolving waveform jitter particularly outstanding performance heterogeneity issues present global attention mechanism generating surface waveforms early training stages cardiovascular disease diagnosis atrial premature beats assisted diagnostic systems achieves stable convergence extremely imbalanced data data imbalance problems transformer &# 8217 independent feature spaces data augmentation paradigm principal component analysis ecg signal generation data augmentation ecg data signal variance principal components feature manifolds depth analysis &# 8220 xlink "> wearable devices various arrhythmias theoretical perspectives theoretical foundation term collection systematic solution research redefines recall decreases rare categories preferred tool precision increases medical field maximizing inter maintaining intra inherent inefficiency information entropy healthcare professionals fundamentally breaking first time experiments demonstrate decoding architecture class differences class consistency
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PCAECG-GAN K-fold experiment table.

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