Related Experiment Video
Updated: Jun 16, 2025
CMAP Scan MUNE MScan - A Novel Motor Unit Number Estimation MUNE Method
Published on: June 7, 2018
Automated step analysis algorithm for CMAP scan study
N Tuğrul Artuğ1, Nermin Gorkem Sirin2, Sezin Alpaydın Baslo3
1Department of Electric, Vocational School of Technical Sciences, Istanbul University-Cerrahpasa, Buyukcekmece, Istanbul, Turkey.
Objective:
To create an automated method for step analysis in compound muscle action potential (CMAP) scan curves and compare the step parameters calculated using the conventional semi-automated and the new automated method between patients with amyotrophic lateral sclerosis (ALS) and controls.
Methods:
Twenty ALS patients and fifteen controls were enrolled into the study. Median nerve was stimulated at the wrist to record CMAP scans from abductor pollisis brevis muscle. Automated step analysis software revealed gaps on CMAP scan graphics by using new parameters indicating the steps. New parameters were calculated and compared with the conventional semi-automated step analysis. Intra-class correlation coefficients (ICC) were measured for reliability between methods.
Results:
Step parameters calculated by two methods showed no significant difference in patients with ALS, except step%, but their similarities were less favorable in controls. The reliability of parameters between two methods was good-to-excellent in patient group, but controls did not show a significant ICC for any of the parameters.
Conclusion:
A completely new automated step analysis software was developed. Analyses were done within 5 s. New step parameters were presented with supporting graphics. Results of automated step analysis were in concordance with semi-automated one for ALS patients, but not in controls.
