Hello all,
I am currently designing a study to investigate the effect of a mechanics training program on the energetics (VO2) and muscle activation during gait. I know there are different ways to process and represent EMG data including representing muscle activity as the average of Root Means Square ( RMS) for different phases of gait cycle (stance and swing) or alternatively representing the muscle activity as integrated EMG (iEMG) for each phase.
My understanding is that iEMG is the area under the curve and RMS is the average of the squared values (using…say….a 40 ms moving window). My questions are 1) for comparing pre to post muscle activation which is the best way to represent the data? 2) What are some examples of when to use each method?
Also, what would be the best way to normalize the amplitude of each muscle signal? MVC?
Thank you for your time and thoughts,
Ricardo Sanchez
I am currently designing a study to investigate the effect of a mechanics training program on the energetics (VO2) and muscle activation during gait. I know there are different ways to process and represent EMG data including representing muscle activity as the average of Root Means Square ( RMS) for different phases of gait cycle (stance and swing) or alternatively representing the muscle activity as integrated EMG (iEMG) for each phase.
My understanding is that iEMG is the area under the curve and RMS is the average of the squared values (using…say….a 40 ms moving window). My questions are 1) for comparing pre to post muscle activation which is the best way to represent the data? 2) What are some examples of when to use each method?
Also, what would be the best way to normalize the amplitude of each muscle signal? MVC?
Thank you for your time and thoughts,
Ricardo Sanchez
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