Hi Zainab,
In order to help or assist you further, please share your code with us, screenshot of errors etc. In order to address your posted comments, consider using a Variable Bandwidth Butterworth Filter block in Simulink. This block allows you to adjust filter parameters dynamically based on the incoming data's sample frequency.Here's a sample code snippet to create a Variable Bandwidth Butterworth Filter block in Simulink:
% Define the filter parameters
order = 4; % Filter order
fs = 1000; % Sampling frequency
f_low = 20; % Lower cutoff frequency
f_high = 200; % Upper cutoff frequency
% Design the Butterworth filter
[b, a] = butter(order, [f_low/(fs/2), f_high/(fs/2)]);
% Apply the filter to the SEMG signal
filtered_signal = filtfilt(b, a, semg_signal);
By implementing this Variable Bandwidth Butterworth Filter, you can effectively process live SEMG signals with varying sample frequencies, ensuring noise reduction for accurate prosthetic arm control. Good luck!
