Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10,000 individual subject ECG records

• Published in: Information sciences Vol. 575; pp. 323 - 337
• Main Authors: Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Tan, Ru-San, Acharya, U. Rajendra
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.10.2021
• Subjects: Automated arrhythmia detection; Chi2 feature selection; ECG; Homeomorphically irreducible tree pattern; Maximum absolute pooling; ECG; Automated arrhythmia detection; Chi2 feature selection; Maximum absolute pooling; Homeomorphically irreducible tree pattern

Arrhythmia constitute a common clinical problem in cardiology. The diagnosis is often made using electrocardiographic (ECG) signals but manual ECG interpretation by experts is expensive and time-consuming. In this work, we developed and validated an arrhythmia classification model based on handcraft...