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Engineering Intern
SmartInternz
Sep 2024 - Oct 2024 • 1 mo
Developed a hybrid CNN-BiLSTM model with gated convolutions for automated ECG arrhythmia classification, achieving 98.88% validation accuracy. Applied data preprocessing techniques including SMOTE for imbalanced classes, bandpass filtering, Discrete-wavelet-transform, and Pan-Tompkins for R-peak detection.