Cardiac Arrhythmias Auto Detection in an Electrocardiogram Using Computer-Aided Diagnosis Algorithm

Ji Ae Park; Seok Min Hwang; Ji Won Baek; Yoon Nyun Kim; Jong Ha Lee

doi:10.4028/www.scientific.net/AMM.556-562.2728

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Cardiac Arrhythmias Auto Detection in an...

Cardiac Arrhythmias Auto Detection in an Electrocardiogram Using Computer-Aided Diagnosis Algorithm

Abstract:

Supraventricular tachycardia (SVT) is the most common arrhythmia and can be found in not only heart disease patients, but also healthy persons. However, the occurrence of SVT in heart disease patients implies that the potential of the heart diseases worsening, and it causes cardiac arrest when it evolves into ventricular tachycardia or the ventricular fibrillation. Therefore, the detection of SVT arrhythmia, as a first stage, has significant implications for the prevention of cardiac arrests. In this paper, we propose the automatic diagnosis system for cardiac arrhythmias detection with great accuracy. To validate the algorithm, SVT and normal sinus rhythm are classified by the proposed algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

2728-2731

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.2728

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Online since:

May 2014

Authors:

Ji Ae Park, Seok Min Hwang, Ji Won Baek, Yoon Nyun Kim, Jong Ha Lee*

Keywords:

Arrhymias, Auto Diagnosis, Computer Aided Diagnosis, ECG Sensor, Electrocardiogram, Wearable Sensor

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* - Corresponding Author

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