Literature DB >> 31919720

A new method for measurement of motor unit action potential duration based on correlation, a pilot study.

Ignacio Rodríguez Carreño1, Armando Malanda2, Luis Gila Useros3, Iñaki G Gurtubay3, Javier Navallas2, Javier Rodríguez-Falces2.   

Abstract

We present a new, automatic, correlation-based method for measuring the duration of motor unit action potentials (MUAPs). The method seeks to replicate the way an expert elctromyographer uses his or her eyes, calculating the start and end of the MUAP waveform on the basis of the degree of similarity of non-excluded discharges. We analysed 68 potentials from normal deltoid muscles during slight contraction. For each MUAP, two experienced electromyographers manually determined start and end marker positions, which were used as gold standard duration positions (GSP) in our subsequent tests. The novel method was compared with Nandedkar's method and a wavelet transform-based method. To compare the three methods, the differences between the automatic marker positions and GSPs were statistically evaluated using one-factor ANOVA, the estimated mean square error, and a Chi-square test on the numbers of automatic marker placements with gross errors. All these parameters showed smaller values for the novel method and in most of the cases were statistically significant. In addition, the parameters of the new method were subjected to a sensitivity study, showing its good performance within a range of clinically useful parameter values. The new automatic method determined start and end markers in a more accurate and reliable manner than both of the acknowledged state-of-the art methods used in our comparison study. Graphical abstract The description of a new automatic duration measurement algorithm based on the similarity among discharges of the same MUAP. This method gave better results than the Nandedkar method and a highly regarded wavelet-based method. The new correlation-based method also had the lowest rate of gross aberrant errors in automatic placements.

Keywords:  Correlation; Duration; Motor unit action potential; Quantitative electromyography

Mesh:

Year:  2020        PMID: 31919720     DOI: 10.1007/s11517-019-02115-6

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  23 in total

1.  Motor unit action potential duration and muscle length.

Authors:  D Dumitru; J C King
Journal:  Muscle Nerve       Date:  1999-09       Impact factor: 3.217

2.  Skill and selection bias has least influence on motor unit action potential firing rate/frequency.

Authors:  J Chu; I Takehara; T C Li; I Schwartz
Journal:  Electromyogr Clin Neurophysiol       Date:  2003 Oct-Nov

3.  Motor unit action potential duration, I: variability of manual and automatic measurements.

Authors:  Ignacio Rodríguez; Luis Gila; Armando Malanda; Ignacio Garcia Gurtubay; Fermin Mallor; Sagrario Gómez; Javier Navallas; Javier Rodríguez
Journal:  J Clin Neurophysiol       Date:  2007-02       Impact factor: 2.177

4.  Motor unit action potential duration, II: a new automatic measurement method based on the wavelet transform.

Authors:  Ignacio Rodríguez; Luis Gila; Armando Malanda; Ignacio Garcia Gurtubay; Fermin Mallor; Sagrario Gómez; Javier Navallas; Javier Rodríguez
Journal:  J Clin Neurophysiol       Date:  2007-02       Impact factor: 2.177

5.  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

6.  The physiological origin of the slow afterwave in muscle action potentials.

Authors:  Z C Lateva; K C McGill
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1998-10

Review 7.  Quantitative motor unit potential analysis.

Authors:  E Stålberg; S D Nandedkar; D B Sanders; B Falck
Journal:  J Clin Neurophysiol       Date:  1996-09       Impact factor: 2.177

8.  Multi-MUP EMG analysis--a two year experience in daily clinical work.

Authors:  E Stålberg; B Falck; M Sonoo; S Stålberg; M Aström
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1995-06

9.  Reference values of motor unit action potentials obtained with multi-MUAP analysis.

Authors:  C Bischoff; E Stålberg; B Falck; K E Eeg-Olofsson
Journal:  Muscle Nerve       Date:  1994-08       Impact factor: 3.217

10.  Reliability of quantitative motor unit action potential parameters.

Authors:  Itaru Takehara; Jennifer Chu; Tung-Chou Li; Ira Schwartz
Journal:  Muscle Nerve       Date:  2004-07       Impact factor: 3.217

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