Heart Disease Classification With Ecg Signals Using Deep Neural Networks

Authors

  • K. Lakshmanrao,Y Kotari Harsha Vardhan, Koka Kasaiah, Nelluri Jaswanth, Mitta Ganesh Author

DOI:

https://doi.org/10.48047/bxfa6f54

Keywords:

Electrocardiogram (ECG), Heart Disease Classification, Deep Neural Networks (DNN), Machine Learning, Biomedical Signal Processing, Arduino Uno, MAX30102 Sensor, Real-Time Monitoring, Healthcare Systems, Embedded Systems.

Abstract

Heart disease continues to be one of the leading causes of death worldwide, making early detection and continuous monitoring critically important for improving patient outcomes. This paper presents a novel approach for heart disease classification using electrocardiogram (ECG) signals combined with deep neaural network techniques.

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Published

01.05.2026

Issue

Vol. 16 No. 2 (2026): volume 16 issue 2(2026)

Section

Articles

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How to Cite

Heart Disease Classification With Ecg Signals Using Deep Neural Networks . (2026). International Journal of Information and Electronics Engineering, 16(2), 116-124. https://doi.org/10.48047/bxfa6f54