ECG Signal Extraction via MATLAB Programming Using Data Acquisition System
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Resource Overview
Implementation of ECG signal extraction from data acquisition system data using MATLAB programming, addition of Gaussian white noise at 20 SNR, and final processing with Kalman filtering
Detailed Documentation
In this research, we utilized a data acquisition system to obtain ECG signal data. We processed the data using MATLAB programming to extract ECG signals, implementing signal processing algorithms including baseline correction and peak detection for QRS complex identification. To investigate the signal's noise characteristics, we added Gaussian white noise with a 20 dB signal-to-noise ratio (SNR) using MATLAB's awgn function or custom noise generation algorithms. Finally, we applied Kalman filtering to process the signal, implementing state-space models and recursive estimation algorithms to reduce noise and improve SNR. This enhanced processing enables better analysis of ECG signal features and characteristics, with implementation involving filtering parameters optimization and real-time processing considerations for biomedical applications.
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