Ten quick tips for electrocardiogram (ECG) signal processing

D Chicco, AI Karaiskou, M De Vos - PeerJ Computer Science, 2024 - peerj.com
The electrocardiogram (ECG) is a powerful tool to measure the electrical activity of the heart,
and the analysis of its data can be useful to assess the patient's health. In particular, the …

[HTML][HTML] ECGMiner: A flexible software for accurately digitizing ECG

AF Santamónica, R Carratalá-Sáez, Y Larriba… - Computer methods and …, 2024 - Elsevier
Background and objective The electrocardiogram (ECG) is the most important non-invasive
method for elucidating information about heart and cardiovascular disease diagnosis …

ECG data analysis to determine ST-segment elevation myocardial infarction and infarction territory type: an integrative approach of artificial intelligence and clinical …

J Kim, B Shon, S Kim, J Cho, JJ Seo, SY Jang… - Frontiers in …, 2024 - frontiersin.org
Introduction Acute coronary syndrome (ACS) is one of the leading causes of death from
cardiovascular diseases worldwide, with ST-segment elevation myocardial infarction …

[HTML][HTML] Novel synchronization method for vectorcardiogram reconstruction from ECG printouts: A comprehensive validation approach

E Ramírez, S Ruipérez-Campillo, F Castells… - … Signal Processing and …, 2024 - Elsevier
Abstract Background and Objectives: The extensive collection of electrocardiogram (ECG)
recordings stored in paper format has provided opportunities for numerous digitization …

Automatized quantitative electrocardiography from digitized paper electrocardiograms: A new avenue for risk stratification in patients with Brugada syndrome

PL Laporte, M Vaglio, I Denjoy… - Archives of …, 2025 - Elsevier
Background Arrhythmic risk stratification is a major challenge in Brugada syndrome. Studies
have evaluated risk stratification based on manually measured electrocardiogram (ECG) …

A Unified ECG Paper Digitization Framework with R-peak Detection for RR Interval Analysis and Deep ECG Learning Applications

JV Vadakkan, MS Manikandan… - 2024 16th …, 2024 - ieeexplore.ieee.org
Electrocardiogram (ECG) signals are commonly acquired using the ECG recording system
which produces printed ECG waveforms with essential ECG parameters and patient …

Optimizing high-volume ECG Scan Digitization: A Cloud-Driven Approach Using Terraform and Ansible

C Ati - 2024 - oda.oslomet.no
The digitization of medical data, especially Electrocardiography (ECG) scans, offers
significant potential to enhance diagnostic accuracy and patient outcomes through …

Reconstruction of Time-Series Data from Ecg Pdfs: A Novel Approach for Clinical and Research Applications

SS Shie, PY Huang, MS Wen, CY Wang - Available at SSRN 5117158 - papers.ssrn.com
Accurate extraction of time-series data from electrocardiograms (ECGs) embedded in PDF
files is challenging due to graphical complexities and noise. This study introduces a novel …