Optimised deep intelligent system for arrhythmia prediction from electrocardiogram data

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Medical Engineering and Informatics
Published
2025-01-01
DOI
https://doi.org/10.1504/ijmei.2025.10073822
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimised deep intelligent system for arrhythmia prediction from electrocardiogram data

Sujatha Dandu, Radhika Nampalli
International Journal of Medical Engineering and Informatics
ECG Monitoring and Analysis
article

Optimised deep intelligent system for arrhythmia prediction from electrocardiogram data

Sujatha Dandu, Radhika Nampalli
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Medical Engineering and InformaticsVol. 1(1)
Openalex Percentile: Top 59%
ECG Monitoring and Analysis
DOISourceOpenAlex
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Optimised deep intelligent system for arrhythmia prediction from electrocardiogram data — Sujatha Dandu, Radhika Nampalli · International Journal of Medical Engineering and Informatics (2025) | TGRS Research Map | TGRS