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

作者：Samir Abdel-Rahman, Pavel Antiperovitch, Anthony Tang, Vijay Parsa, James C. Lacefield · 发表于：SoftwareX · 年份：2025 · DOI：10.1016/j.softx.2025.102423 · 研究领域：ECG Monitoring and Analysis、Cardiac electrophysiology and arrhythmias、EEG and Brain-Computer Interfaces

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.