Establishment and validation of an electrocardiogram vector-based machine learning model for the conversion of prone position electrocardiograms into standard electrocardiograms

The successful development of models for converting prone ECGs to standard ECGs demonstrated good and robust diagnostic performance for CVD.

Authors

Jun‐Yu Liu (ORCID: https://orcid.org/0009-0000-6806-4156)
Huayue Tao (ORCID: https://orcid.org/0000-0001-8842-1261)
Zhiquan Chen (ORCID: https://orcid.org/0000-0002-9518-7837)
Xuhong Geng (ORCID: https://orcid.org/0000-0003-0580-7922)
Gary Tse (ORCID: https://orcid.org/0000-0001-5510-1253)
Zhongjian Li (ORCID: https://orcid.org/0000-0002-3685-381X)
Jiandong Zhou (ORCID: https://orcid.org/0000-0003-3780-9033)
Kang‐Yin Chen (ORCID: https://orcid.org/0000-0001-7056-6438)
Shijia Geng (ORCID: https://orcid.org/0000-0002-9628-8808)
Shenda Hong (ORCID: https://orcid.org/0000-0001-7521-5127)
Zheng-Kai Xue (ORCID: https://orcid.org/0000-0002-5721-3125)
Xian Shao (ORCID: https://orcid.org/0000-0003-1720-6788)
Tong Liu (ORCID: https://orcid.org/0000-0003-0482-0738)
Hao Zhang (ORCID: https://orcid.org/0000-0003-3737-392X)
Yizhi Liu (ORCID: https://orcid.org/0000-0003-4108-9593)
Shifeng Li
Fang-Fang Zhang