Frequency Range Design for EMG Signals: Band-Pass + Notch Filter Implementation

For EMG (electromyography) signal frequency ranges, we need to design a band-pass + notch filter combination to effectively filter out unwanted interference signals. The band-pass filter allows signals within specific frequency ranges to pass through, while the notch filter helps eliminate noise at particular frequencies. Through proper design and adjustment of filter parameters (such as cutoff frequencies, bandwidth, and attenuation levels), we can improve the accuracy and reliability of EMG signals for better signal processing and analysis. Implementation typically involves digital filter design techniques using functions like butter() or cheby1() for band-pass configuration, and iirnotch() for notch filtering in signal processing toolboxes. Proper parameter selection requires understanding EMG signal characteristics (typically 20-500 Hz for surface EMG) and noise sources (like 50/60 Hz power line interference). Therefore, ensuring filter accuracy and performance is crucial for EMG signal research and applications, where code implementation might include cascading filter stages and validating results with frequency response analysis.