Classification of ECG beats using optimized decision tree and adaptive boosted optimized decision tree

• Published in: Signal, image and video processing Vol. 16; no. 3; pp. 695 - 703
• Main Authors: Mohebbanaaz, Kumari, L. V. Rajani, Sai, Y. Padma
• Format: Journal Article
• Language: English
• Published: London Springer London 01.04.2022; Springer Nature B.V
• Subjects: Algorithms; Arrhythmia; Artificial intelligence; Cardiac arrhythmia; Classification; Computer Imaging; Computer Science; Decision analysis; Decision trees; Electrocardiography; Flaw detection; Image Processing and Computer Vision; Multimedia Information Systems; Original Paper; Pattern Recognition and Graphics; Signal,Image and Speech Processing; Vision; Optimized decision tree; ECG beats; Adaptive boosted optimized decision tree; Classification

Rapid advancements in our innovation have encouraged early analysis of diseases in the clinical area. The primary diagnostic tool for detecting cardiovascular diseases is electrocardiogram. We have proposed two classifiers for classifying six types of heartbeats. Among these six types, one is normal...