I would like to normalize EMG data of a long-lasting (2min+) submaximal wall squat task to MVC data. Currently I'm not sure how to do it? I was thinking about taking the peak value or an average value of the first 10sec? Because over time the submaximal task getting harder and harder and therefore %MVC would consequently increase
When you say "normalize EMG data", I assume you mean EMG amplitude data (e.g., root-mean-square). Normally, you would have the subject perform a maximal voluntary contraction (MVC) before doing the submaximal task. You then normalize the submaximal task EMG root-mean-square (RMS) to that of the MVC. The duration of the submaximal task segments that you calculate EMG RMS for depends on the task being performed (e.g., is it rapidly changing?), sampling frequency, et cetera.
Hi Gordon. Yes correctly I meant EMG amplitude data. I let them perform a 5sec MVC prior to the submaximal task and take highest average amplitude over 500ms as reference value. The submaximal task is isometric wall squatting with a sampling frequency of a 1000Hz.
Why you want to see on that 2+ minutes contraction?
If you want to notice muscle fatigue, you can take the whole period, or you can take 3 different moments of the measurement.
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