A novel efficient hybrid deep learning framework for ECG-based heartbeat arrhythmia classification.

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Title: A novel efficient hybrid deep learning framework for ECG-based heartbeat arrhythmia classification.
Authors: Bahrami, Reza1, elec97.bahrami@tafreshu.ac.ir, Fotouhi, Ali M.1, fotouhi@tafreshu.ac.ir
Source: Neural Computing & Applications; Jul2025, Vol. 37 Issue 21, p16409-16425, 17p
Database: Applied Science & Technology Source
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186779385
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        Value: 10.1007/s00521-025-11319-x
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        Text: English
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        PageCount: 17
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      – TitleFull: A novel efficient hybrid deep learning framework for ECG-based heartbeat arrhythmia classification.
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              Text: Jul2025
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              Y: 2025
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