Develop a MATLAB program to compute the turns count in causal moving Windows of duration in the range 50 - 150 ms. Apply the method to the EMG signal in the file emg-dog2.dat. (See also the file emg-dog2.m.) Study the results for different thresholds in the range 0 - 200 μV.
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dc remove matlab The sentence xx = conv(xx,ones(3,1))/3; have no meaning for dc component removing. This term looks like sliding average for removing of high-frequency signal components (or noise). The dc removing itself describing by third term (where mean(xx) - dc bias): xx = xx-mean(xx); And nothing but this!!!
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Sep 20, 2016 · The ‘spike’ creates broadband, high-frequency noise. I would first do a fft of your signal to understand the frequency composition, then design a lowpass or bandpass filter to keep your frequencies of interest, and use it to filter your signal. There are many ways to design filters in MATLAB, probably the easiest being designfilt.
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source of interference for biomedical signal recording. The frequency of power line interference 50 Hz is nearly equal to the frequency of ECG, so this 50 Hz noise can destroyed the output of ECG signal. One way to remove the noise is to filter the signal with a notch filter at 50 Hz. However, due to slight
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This example shows how to lowpass filter an ECG signal that contains high frequency noise. Create one period of an ECG signal. The ecg function creates an ECG signal of length 500. The sgolayfilt function smoothes the ECG signal using a Savitzky-Golay (polynomial) smoothing filter.
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Smoothing filters are helpful at reducing noise. Your signal has some very high amplitude noise, relative to the signal amplitude. It will be difficult for any filter to remove that without significantly modifying your signal. Other issues: All filters introduce some phase shift.