EKGta
EKGta is an open-source software framework for the analysis, visualization, and education of electrocardiogram (ECG) data. It is designed for researchers, clinicians, and students to process large ECG datasets, perform signal processing, and develop or test diagnostic algorithms in a reproducible workflow.
Developed by a collaboration of cardiology researchers and data scientists, EKGta emphasizes modularity and interoperability. The
Key capabilities include real-time or batched signal processing, filtering to remove noise and baseline wander, QRS
EKGta is designed to integrate with Python environments and provides a plugin architecture that allows third-party
Adoption is strongest in academic settings and medical training programs, where it supports teaching laboratories, data