I am a research student undertaking a combined physiological and
biomechanical study which I am currently writing up. The topic is an
investigation into the effects of Hypoxic and Hyperoxic conditions on a
variety of measures, including EMG. The study used 10 subjects who
exercised on an arm-crank ergometer using an incremental step design to
exhaustion. The workload was increased every 4 minutes and on average
each subject completed 4 workloads. One of my reasons for doing this
study is based on a paper by Kayser (1994) who used iEMG - therefore I
have used the same measure. I collected EMG from the Biceps, Triceps and
Anterior Deltoid muscles.

I collected EMG continuously during the data collection from each
subject and then used the following method to arrive at an iEMG value
for each workload:

-slice off the final 30s of EMG data (the rationale being the subject
would be in physiological "steady state")

-use the DC offset function to remove equipment noise.

-RMS the filtered data.

-Integrate the RMS data.

I was wondering if Biomch-L subscribers could comment on my EMG signal
analysis as to whether they think I have used the correct methodology or
if there is a better method I may be able to use. I have all the EMG
data saved and access to EMGWorks.

Thanks very much,

Graham Mytton

University of Sunderland.