Wearable 12-Lead ECG Acquisition Using a Novel Deep Learning Approach from Frank or EASI Leads with Clinical Validation

The 12-lead electrocardiogram (ECG) is crucial in assessing patient decisions. However, portable ECG devices capable of acquiring a complete 12-lead ECG are scarce. For the first time, a deep learning-based method is proposed to reconstruct the 12-lead ECG from Frank leads (V_X, V<sub>Y</s...

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Egile Nagusiak:	Fan Fu, Dacheng Zhong, Jiamin Liu, Tianxiang Xu, Qin Shen, Wei Wang, Songsheng Zhu, Jianqing Li
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2024-03-01
Saila:	Bioengineering
Gaiak:	deep neural network EASI lead system electrocardiogram 12-lead ECG reconstruction
Sarrera elektronikoa:	https://www.mdpi.com/2306-5354/11/3/293
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