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Reliable Deep Learning-Based Detection of Misplaced Chest Electrodes During Electrocardiogram Recording: Algorithm Development and Validation.

Khaled RjoobRaymond R BondDewar FinlayVictoria McgilliganStephen J LeslieAli RababahAleeha IftikharDaniel GuldenringCharles KnoeryAnne McShaneAaron Peace
Published in: JMIR medical informatics (2021)
DL provides the best performance for detecting chest electrode misplacement when compared with the ability of experienced physicians. DL and ML could be used to help flag ECGs that have been incorrectly recorded and flag that the data may be flawed, which could reduce the number of erroneous diagnoses.
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