Accession Number:

ADA050032

Title:

Comparison of Analysis Techniques for Electromyographic Data,

Descriptive Note:

Corporate Author:

ARMY AEROMEDICAL RESEARCH LAB FORT RUCKER ALA

Personal Author(s):

Report Date:

1977-10-01

Pagination or Media Count:

20.0

Abstract:

Electromyography has been effectively employed to estimate the stress encountered by the forearm flexor muscles in performing a variety of functions in the static environment. Such analysis provides the basis for modification of a man-machine system in order to optimize the performance of individual tasks by reducing muscle stress. Myriad analysis methods have been proposed and employed to convert raw electromyographic data into numerical indices of stress and, more specifically, muscle work. However, the type of analysis technique applied to the data can significantly affect the outcome of the experiment. In this study four methods of analysis were used to simultaneously process electromyographic data. The following conclusions were drawn from this study 1 Integrated and root mean square voltage parameters provided the smoothest and most linear indicators of muscle activity 2 Peak counting techniques were more sensitive to change in muscle activity induced by vibration than integrated and RMS techniques 3 Single threshold turns counting provided no useful information in this experiment however, the turns amplitude histogram provided information similar to that of multi-threshold peak counting technique and 4 Changing the integration time constant did not alter the linearity of the relationship between EMG output and arm load.

Subject Categories:

  • Stress Physiology
  • Numerical Mathematics
  • Biomedical Instrumentation and Bioengineering
  • Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE