A Novel Feature Vector for ECG Classification using Deep Learning

ECG Feature Vector Deep Learning Classification Healthcare

Abstract

This paper presents a novel feature vector design for ECG classification using deep learning, improving the representation of cardiac signals for arrhythmia detection.

Citation

Pavlo Radiuk, Oleksander Barmak, Iurii Krak. "A Novel Feature Vector for ECG Classification using Deep Learning". IntelITSIS 2023, 2023.

Related Publications

2025Journal Articles

Towards Transparent AI in Medicine: ECG-Based Arrhythmia Detection with Explainable Deep Learning

Pavlo Radiuk, Liliana Klymenko, Iurii Krak

Technologies

2024Conference Papers

Robust R-peak Detection using Deep Learning based on Integrating Domain Knowledge

Pavlo Radiuk, Oleksander Barmak, Iurii Krak

IEEE IDAACS 2023

All Publications