MATLAB Code Implementation for ECG Data Filtering
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Resource Overview
This successfully tested ECG data filtering code effectively removes powerline interference and baseline wander, featuring implementation details for signal processing algorithms and key MATLAB functions.
Detailed Documentation
As mentioned in the content, I have successfully developed and tested MATLAB code for filtering electrocardiogram (ECG) data. The implementation utilizes digital signal processing techniques to eliminate two common artifacts: powerline interference at 50/60Hz and baseline wander caused by patient movement or respiration.
The code employs band-stop filtering for powerline noise removal using Butterworth or Chebyshev filters, and high-pass filtering with appropriate cutoff frequencies (typically 0.5-1Hz) for baseline drift correction. Key MATLAB functions include filter design tools (butter, cheby1), filtering operations (filter, filtfilt for zero-phase filtering), and signal processing utilities for optimal parameter selection.
I appreciate your collaboration and interest in this biomedical signal processing implementation. The code structure follows MATLAB best practices with clear comments, parameter configuration sections, and visualization functions for comparing raw and filtered signals.
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