12-lead ECG synthesis from reduced lead set using multi-lead convolutional autoencoder
Abstract Accurate reconstruction of the standard 12-lead electrocardiogram (ECG) from a reduced number of leads has significant potential for simplifying cardiac monitoring systems and enabling wearable healthcare solutions. This study proposes a novel multi-lead convolutional autoencoder (MLCAE) for reconstructing sta...