I have used two methods to process the same electromyography signal and calculate the maximum amplitude of it (RMS vs smoothing). However, I do not know which of them is the most appropriate, since the results change. So I need to know what index I could calculate in my signal to identify the best of them.
It depends on your signal. You can use wavelet transform for denoising the signal and then calculate the maximum amplitude.
Kumar Anubhav Tiwari Thanks for your reply. The focus of the problem is to observe different values of maximum amplitude when choosing a method of presenting the final signal. For example, if I use RMS, EMD, linear envelope or soft signal, the final maximum amplitude values change significantly. So I look for an index that allows me to identify which of them maintains more information of the signal and less of the noise. If there is something similar to the signal to noise ratio.
Mauricio Alfonso Barramuño Medina (1) Please achieve the denoised detailed signal at highest level using discrete wavelet transform by using different wavelet families. Then compare the psd of each of them with original signal or use cross correlation to find maximum correlation. In this way, you can find the suitable mother wavelet. Then use the same to denoise the signal to maintain the signal information. (2) Another way is to use the mode decomposition techniques (EEMD or VMD).
Kumar Anubhav Tiwari Thank you very much for your help
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