imehranasgari/DL_TimeSeries_Classification_ECG_Signal_Arrhythmia
This project applies ANNs, CNNs, LSTMs, and a Hybrid Transformer to classify ECG signals from the MIT-BIH dataset for arrhythmia detection. Includes preprocessing, class balancing, model comparison, and ensembles, achieving ~98% accuracy.
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Apache-2.0
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Aug 19, 2025
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