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What is Research Paper Draft about?

This document presents a hybrid ECG classification framework that combines Vision Transformer-based deep feature extraction with classical machine learning classifiers to enhance the accuracy of heart disease detection. The proposed method processes scanned ECG images through a customized image-to-signal transformation pipeline, achieving an accuracy of 96.77% with high sensitivity and specificity across multiple ECG classes. The framework aims to improve automated ECG interpretation by addressing challenge

Author

mishrapranav0104

Language

EN