Designed and implemented a deep learning model to identify normal and abnormal heart beats from Photoplethysmogram (PPG) signals. Utilized recurrent neural networks, incorporating both time domain and frequency domain signals as input. The project focused on enhancing the accuracy of PAC/PVC detection for improved cardiovascular health monitoring.
active 2024-06-11 → 2024-06-11 (UTC)
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