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Auto Lead Extraction and Digitization of ECG Paper Records using cGAN. (arXiv:2211.06720v1 [cs.CV])
Nov. 15, 2022, 2:15 a.m. | Rupali Patil, Bhairav Narkhede, Shubham Varma, Shreyans Suraliya, Ninad Mehendale
cs.CV updates on arXiv.org arxiv.org
Purpose: An Electrocardiogram (ECG) is the simplest and fastest bio-medical
test that is used to detect any heart-related disease. ECG signals are
generally stored in paper form, which makes it difficult to store and analyze
the data. While capturing ECG leads from paper ECG records, a lot of background
information is also captured, which results in incorrect data interpretation.
Methods: We propose a deep learning-based model for individually extracting
all 12 leads from 12-lead ECG images captured using a camera. …
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