A Deep Learning Approach Toward Differentiating Left versus Right for Idiopathic Ventricular Arrhythmia Originated from Outflow Tract

The findings demonstrate the effectiveness of DL in a higher level of applications, specifically in the treatment process, compared to conventional ECG analysis applications based on computerized methods. This represents a promising prospect for use in treatment processes without relying on complex and multifaceted diagnostic methods in the future.

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Publication Details

Journal
Journal of Medical Signals & Sensors
Published
2025-10-01
DOI
https://doi.org/10.4103/jmss.jmss_2_25
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

A Deep Learning Approach Toward Differentiating Left versus Right for Idiopathic Ventricular Arrhythmia Originated from Outflow Tract

Hossein Khosravi, Reza Talebzadeh, Bahador Makkiabadi, Majid Haghjoo
Journal of Medical Signals & Sensors
ECG Monitoring and Analysis
article

A Deep Learning Approach Toward Differentiating Left versus Right for Idiopathic Ventricular Arrhythmia Originated from Outflow Tract

Hossein Khosravi, Reza Talebzadeh, Bahador Makkiabadi, Majid Haghjoo
article en

Abstract

The findings demonstrate the effectiveness of DL in a higher level of applications, specifically in the treatment process, compared to conventional ECG analysis applications based on computerized methods. This represents a promising prospect for use in treatment processes without relying on complex and multifaceted diagnostic methods in the future.

Journal of Medical Signals & SensorsVol. 15(10)
Iran University of Medical Sciences (IR), University of Shahrood (IR), Medical Technologies (Czechia) (CZ), Tehran University of Medical Sciences (IR)
Openalex Percentile: Top 59%
ECG Monitoring and Analysis
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