Literature DB >> 7721548

New approaches to motor unit potential analysis.

C Iani1, E Stålberg, B Falck, C Bishoff.   

Abstract

The current state of motor unit potential (MUP) analysis is reviewed. New quantitative analysis methods are described and compared with traditional manual measurements. The emphasis in this review is on a new method, multi-MUP analysis and the detection of individual outliers. Multi-MUP analysis is based on decomposition EMG. The main advantage of these new methods is that they save time and allow immediate comparison between obtained results and reference values. The results are repeatable and independent of the investigator.

Mesh：

Year:  1994        PMID： 7721548     DOI： 10.1007/bf02334606

Source DB:  PubMed          Journal:  Ital J Neurol Sci        ISSN： 0392-0461


  20 in total

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

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

2.  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

3.  Motor unit potentials at different ages.

Authors:  G SACCO; F BUCHTHAL; P ROSENFALCK
Journal:  Arch Neurol       Date:  1962-05

4.  The ability of MUP parameters to discriminate between normal and neurogenic MUPs in concentric EMG: analysis of the MUP "thickness" and the proposal of "size index".

Authors:  M Sonoo; E Stålberg
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1993-10

5.  Scanning EMG in normal muscle and in neuromuscular disorders.

Authors:  E Stålberg; P Dioszeghy
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1991-12

6.  Properties of motor unit action potentials recorded with concentric and monopolar needle electrodes: ADEMG analysis.

Authors:  J E Howard; K C McGill; L J Dorfman
Journal:  Muscle Nerve       Date:  1988-10       Impact factor: 3.217

7.  The baseline, the time characteristics and the slow after-waves of the motor unit potential.

Authors:  A H Lang; K M Vaahtoranta
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1973-10

8.  Automatic decomposition of the clinical electromyogram.

Authors:  K C McGill; K L Cummins; L J Dorfman
Journal:  IEEE Trans Biomed Eng       Date:  1985-07       Impact factor: 4.538

9.  Control scheme governing concurrently active human motor units during voluntary contractions.

Authors:  C J De Luca; R S LeFever; M P McCue; A P Xenakis
Journal:  J Physiol       Date:  1982-08       Impact factor: 5.182

10.  Outliers, a way to detect abnormality in quantitative EMG.

Authors:  E Stålberg; C Bischoff; B Falck
Journal:  Muscle Nerve       Date:  1994-04       Impact factor: 3.217
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  1 in total

1.  Automatic identification of motor unit action potential trains from electromyographic signals using fuzzy techniques.

Authors:  E Chauvet; O Fokapu; J Y Hogrel; D Gamet; J Duchêne
Journal:  Med Biol Eng Comput       Date:  2003-11       Impact factor: 2.602
  1 in total

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