A computer algorithm for defining the group electromyographic profile from individual gait profiles.

Abstract

A computer algorithm was developed to determine the group electromyographic (EMG) profile for the soleus muscle during free speed level walking. Subjects consisted of 50 adults (21 male, 29 female) with no history of musculoskeletal disease. EMG was recorded from the soleus muscle with wire electrodes, and was normalized by maximum muscle test. Two algorithms (time-adjusted mean profile (TAMP) and mean intensity profile (MIP)) were implemented to construct a group profile from identical individual EMG profiles. In addition, a grand ensemble average (GEAV) of the same individual data was performed. A high positive correlation (omega 2 > .995) was found between MIP and GEAV of EMG data. A control group was established based on mean timing and relative intensity of the individual EMG profiles. The MIP and GEAV were shown to have earlier onsets, later cessations, and extended EMG duration in comparison to control values. No significant differences were observed comparing TAMP and mean values for any measure.