CardioMark: An open-source MATLAB toolbox for ECG annotation for machine learning and academic research

With the growing use of machine learning, especially deep learning, in ECG analysis, access to well-annotated databases has become increasingly important. However, most public ECG databases lack detailed QRS morphology labels or complete 12-lead ECG recordings. Manual annotation remains essential but is time-consuming, subjective, and often requires multiple reviewers. CardioMark is an open-access MATLAB toolbox that simplifies and improves ECG annotation through an intuitive graphical interface. It supports multi-observer input, session-based work, and easy export for machine learning applications. Its modular design allows customization for various ECG tasks, making it a useful tool for both research and education in clinical cardiology.

Authors

Institutions

Publication Details

Journal
SoftwareX
Published
2025-10-25
DOI
https://doi.org/10.1016/j.softx.2025.102423
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CardioMark: An open-source MATLAB toolbox for ECG annotation for machine learning and academic research

James C. Lacefield, Vijay Parsa, Samir Abdel-Rahman, Pavel Antiperovitch et al.
SoftwareX
ECG Monitoring and Analysis
article

CardioMark: An open-source MATLAB toolbox for ECG annotation for machine learning and academic research

James C. Lacefield, Vijay Parsa, Samir Abdel-Rahman, Pavel Antiperovitch, Anthony Tang
article en

Abstract

With the growing use of machine learning, especially deep learning, in ECG analysis, access to well-annotated databases has become increasingly important. However, most public ECG databases lack detailed QRS morphology labels or complete 12-lead ECG recordings. Manual annotation remains essential but is time-consuming, subjective, and often requires multiple reviewers. CardioMark is an open-access MATLAB toolbox that simplifies and improves ECG annotation through an intuitive graphical interface. It supports multi-observer input, session-based work, and easy export for machine learning applications. Its modular design allows customization for various ECG tasks, making it a useful tool for both research and education in clinical cardiology.

SoftwareXVol. 32
Western University (CA), Robarts Clinical Trials (CA)
Openalex Percentile: Top 53%
ECG Monitoring and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

CardioMark: An open-source MATLAB toolbox for ECG annotation for machine learning and academic research — James C. Lacefield, Vijay Parsa, et al. · SoftwareX (2025) | TGRS Research Map | TGRS