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Arrhythmia Classification with Single-Channel Features Extracted from “A Large-Scale 12-Lead ECG Database for Arrhythmia Study”

This study assesses how classical and modern features extracted from a single ECG lead (II) influence automated arrhythmia classification. Using the <i>Large Scale 12-Lead Electrocardiogram Database for Arrhythmia Study</i> and MATLAB<sup>®</sup>, we compared traditional morphological measures (e.g....

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Monica Fira, Liviu Goraș, Lucian Fira, Radu Florin Popa, Hariton-Nicolae Costin
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-09-01
Schriftenreihe:Sensors
Schlagworte:
ECG
arrhythmia classification
feature extraction
machine learning
Online-Zugang:https://www.mdpi.com/1424-8220/25/18/5621
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