ECG Paper Record Digitization and Diagnosis Using Deep Learning.

ABSTRACT:

Purpose

Electrocardiogram (ECG) is one of the most essential tools for detecting heart problems. Till today most of the ECG records are available in paper form. It can be challenging and time-consuming to manually assess the ECG paper records. Hence, automated diagnosis and analysis are possible if we digitize such paper ECG records.

Methods

The proposed work aims to convert ECG paper records into a 1-D signal and generate an accurate diagnosis of heart-related problems using deep learning. Camera-captured ECG images or scanned ECG paper records are used for the proposed work. Effective pre-processing techniques are used for the removal of shadow from the images. A deep learning model is used to get a threshold value that separates ECG signal from its background and after ap

SUBMITTER: Mishra S 

PROVIDER: S-EPMC8204064 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature