ECG Signal Denoising and Heartbeat Detection using Digital Filters

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This project focuses on enhancing ECG monitoring by ensuring clean and reliable signals, addressing noise from various sources. It employs a digital signal processing (DSP) pipeline using Python to analyze waveforms and apply high-pass filters to eliminate baseline wander. Validation involves matching detected peaks with annotations to assess accuracy and sensitivity, while comparing results across different filter designs. The aim is to maintain the integrity of the QRS complex throughout...