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Author

M. Raju

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Open access Aug 2026

CLASSIFICATION OF ARRHYTHMIA BY USING DEEP LEARNING WITH 2-D ECG SPECTRAL IMAGE REPRESENTATION

This work presents an image-based ECG arrhythmia classification framework for six rhythm categories and demonstrates the complete inference pipeline from ECG image input to multiclass prediction and user-facing rhythm interpretation, while also revealing class-level confusion among abnormal rhythms.

Akarapu Anuhya, M. Raju, Sirisha Veluri · 0 citations

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