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Interpretable Deep Learning Models for Arrhythmia Classification Based on ECG Signals Using PTB-X Dataset

PaperCitations, authors & open-access status

Interpretable Deep Learning Models for Arrhythmia Classification Based on ECG Signals Using PTB-X Dataset is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 24 citations, 2025 year and gold oa status.

24
Citations
2025
Year
gold
OA Status

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Elsaid Md. Abdelrahim
Author
Diagnostics
Journal
ECG Monitoring and Analysis
Topic
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Topic
EEG and Brain-Computer Interfaces
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Cardiac electrophysiology and arrhythmias
Topic
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