I currently use the BIOPAC MP150 DAQ system to collect the raw surface EMG data during isometric forearm flexion muscle actions. My question pertains to how BIOPAC derives the RMS from the raw EMG signal. Specifically, does the raw EMG signal need to be filtered (bandpass), and then I select the derive RMS function or does BIOPAC have a filter (bandpass) built into the derive RMS function?
Typically, we collect the raw EMG signal with the BIOPAC DAQ system and filter/process the data offline using Labview software. However, I would like to see if I can do the filtering/processing with just the BIOPAC DAQ system. Any insight or help would be appreciated.
What are your EMG amplifier bandpass settings? For acquiring human EMG, high- and low-pass filters of 10-20 and 500-1000 Hz (or so), respectively, are typically used. If your amplifier can do that filtering, you won't need to do any digital filtering. To meet the Nyquist theorem requirements with the above settings, your A/D sampling frequency should be 2000 Hz at the minimum. Once you have the digitized data, EMG RMS could even be calculated in Excel.
- Badges
- Science method
- Similar topics
- Mathematics
- Statistics
- Statistical Techniques
- Meta-Analysis