Literature DB >> 3701382

Some remarks on computer-aided clinical electromyography based on experience with the Polish ANOPS minicomputer.

I Hausmanowa-Petrusewicz.   

Abstract

The author evaluates the application of the Polish minicomputer Analyser of Noise of Periodic Signals (ANOPS) in practical electromyography (EMG) and compares the diagnostic yield of ANOPS with that of manual quantitative EMG. The advantages of ANOPS--at least in the past--include speed, large samples, new data, reduced examiner bias, quantified evaluation of maximal effort record and online recording. The most important limitations of ANOPS are absence of complex potentials due to distortion of signals, loss of phase evaluation, and lack of comparability of amplitude with other methods. ANOPS is compared with other automated methods applied to evaluation of interference pattern and parameters of single motor unit potentials (MUPs). Most of the latter are based on pattern recognition. ANOPS does not meet all of the criteria which an automatic method should meet to be accepted in EMG practice. The most important problem is the distortion of properties of the EMG signal. Further search for computer-aided EMG methods and their careful testing in practice are necessary.

Mesh:

Year:  1986        PMID: 3701382     DOI: 10.1007/bf00313851

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  19 in total

1.  ANALYSIS OF ELECTRICAL ACTIVITY IN HEALTHY AND DYSTROPHIC MUSCLE IN MAN.

Authors:  R G WILLISON
Journal:  J Neurol Neurosurg Psychiatry       Date:  1964-10       Impact factor: 10.154

2.  Multielectrode study of the territory of a motor unit.

Authors:  F BUCHTHAL; C GULD; F ROSENFALCK
Journal:  Acta Physiol Scand       Date:  1957-04-10

3.  Action potential parameters in normal human muscle and their physiological determinants.

Authors:  F BUCHTHAL; P PINELL; P ROSENFALCK
Journal:  Acta Physiol Scand       Date:  1954-11

4.  On-line computer application in clinical quantitative electromyography.

Authors:  J Kopec; I Hausmanowa-Petrusewicz
Journal:  Electromyogr Clin Neurophysiol       Date:  1976 Jan-Mar

5.  Normal values obtained by automated system in analysis of electromyogram.

Authors:  A Wagner; J Kopec; E Szmidt-Salkowska
Journal:  Electromyogr Clin Neurophysiol       Date:  1979 Jun-Aug

6.  The value of automatic analysis for quantitative electromyography.

Authors:  I Hausmanowa-Petrusewicz; J Kopeć
Journal:  Acta Physiol Pol       Date:  1979 Mar-Apr

7.  Electromyography in neuro-muscular diagnostics.

Authors:  I Hausmanowa-Petrusewicz; B Emeryk; B Wasowicz; A Kopeć
Journal:  Electromyography       Date:  1967 Aug-Oct

8.  Automatic analysis of the EMG interference pattern.

Authors:  E Stålberg; J Chu; V Bril; S Nandedkar; S Stålberg; M Ericsson
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1983-12

9.  Classification of the electromyogram by a pattern-recognition method.

Authors:  R D Fusfeld
Journal:  Med Biol Eng Comput       Date:  1982-07       Impact factor: 2.602

10.  Quantitative electromyography using automatic analysis: studies in healthy subjects and patients with primary muscle disease.

Authors:  A L Rose; R G Willison
Journal:  J Neurol Neurosurg Psychiatry       Date:  1967-10       Impact factor: 10.154

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