Computer analysis in clinical electromyography

Electromyographic findings are traditionally evaluated in terms of the duration, amplitude and shape of the myoelectric potentials as well as the pattern of discharge. Unfortunately, the evaluation is frequently dependent on the examiner's subjective observations with the result that mild, early cases or variations in the typical symptoms of the disease may be missed. To overcome these deficiencies, various approaches employing either analog or digital computer techniques have been explored. Programs have ranged from recognition and measurement of motor unit potentials to quantification of the interference pattern. Studies have also compared completely automatic analysis with operator-computer interaction and measurements performed manually. It is evident that the general format is still in the developmental stage. The prime need at the present time, however, is not only for quantification of the electromyogram but for innovative approaches which will expand our knowledge and increase diagnostic accuracy.