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Matching EMG Amplitude Across Task

Hi all,

Conducting some experiments utilising HDsEMG, however will not be using torque during the experimental conditions. Instead was wanting to matched EMG amplitude or something similar achieved during a task, and matching this task, across to the other experimental conditions. What is the best way to do this, any suggestions will be appreciated.



Hi Robert, can you provide more details about your setup and experiment?

robert.lees ha reagito a questo messaggio.

Hi Simone,


We are looking to compare motor unit recruitment between a Dynamic postural condition (Single Leg Squat) and static postural conditions (Seated Knee Extension tasks). We will use 4 grids across the Vastus Lateralis and 2 across the vastus medialis. We cannot measure torque (At least without influencing balance) during the single-leg squat, so we will try and use the EMG amplitude achieved in the single-leg squat task, and get the participant to match that amplitude during the static knee extension tasks. I am unsure whether this is the best method to do this open to any suggestions. I was just wondering how best to set this up and conduct it, any input is greatly appreciated.

Hi Robert,

Through OTBiolab+ you can run the trapezoidal feedback on a grouped track (grids) and the software will ask you to select two different electrodes. Then the trapezoidal will display the ARV of the differential of those two electrodes. There you can set the MVC and put the same value on both your tasks. If you are implementing your protocol in matlab/python maybe you can do that in a more complex way and look at more than one electrode at a time (calculate the mean for example)

I know from literature that if you calculate the cumulative spike train (sum of individual discharge rate or sum of spike train and then smooth the result) you'll get something similar to the force track (see attached image if curious). The problem is doing it during a task. You should calculate it later and repeat your task until your reach the desired value. I think it's unfeasible.

Another thing that I find problematic is that the blind source separation decomposition algorithm, as described in literature, is not reliable in dynamic condition.


File caricati:
  • cumulative-spike-train.PNG