GenECG: a synthetic image-based ECG dataset to augment artificial intelligence-enhanced algorithm development

Objectives An image-based ECG dataset incorporating visual imperfections common to paper-based ECGs, which are typically scanned or photographed into electronic health records, could facilitate clinically useful artificial intelligence (AI)-ECG algorithm development. This study aimed to create a hig...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Neil Bodagh, Steven Niederer, Mark O’Neill, Rachel Burns, Darwon Rashid, Steven E Williams, Miguel O Bernabeu, Ali Gharaviri, Vinush Vigneswaran, Magda Klis, Irum Kotadia, Malihe Javidi, Kyaw Soe Tun, Adam Barton
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	BMJ Publishing Group 2025-06-01
Sarja:	BMJ Health & Care Informatics
Linkit:	https://informatics.bmj.com/content/32/1/e101335.full
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