Literature DB >> 15928409

Simulations of motor unit number estimation techniques.

Lora A Major1, Kelvin E Jones.   

Abstract

Motor unit number estimation (MUNE) is an electrodiagnostic procedure used to evaluate the number of motor axons connected to a muscle. All MUNE techniques rely on assumptions that must be fulfilled to produce a valid estimate. As there is no gold standard to compare the MUNE techniques against, we have developed a model of the relevant neuromuscular physiology and have used this model to simulate various MUNE techniques. The model allows for a quantitative analysis of candidate MUNE techniques that will hopefully contribute to consensus regarding a standard procedure for performing MUNE.

Mesh:

Year:  2005        PMID: 15928409     DOI: 10.1088/1741-2560/2/2/003

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  8 in total

1.  Test--retest reliability of a modified multiple point stimulation technique for motor unit number estimation.

Authors:  Cheryl L Porter; Arodi Alvarez; Kelvin E Jones; K Ming Chan
Journal:  Clin Neurophysiol       Date:  2008-09-02       Impact factor: 3.708

Review 2.  Neuromuscular electrical stimulation: implications of the electrically evoked sensory volley.

Authors:  A J Bergquist; J M Clair; O Lagerquist; C S Mang; Y Okuma; D F Collins
Journal:  Eur J Appl Physiol       Date:  2011-07-30       Impact factor: 3.078

3.  A simulation-based analysis of motor unit number index (MUNIX) technique using motoneuron pool and surface electromyogram models.

Authors:  Xiaoyan Li; William Zev Rymer; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-04-13       Impact factor: 3.802

4.  Modified motor unit number index: A simulation study of the first dorsal interosseous muscle.

Authors:  Xiaoyan Li; Sanjeev D Nandedkar; Ping Zhou
Journal:  Med Eng Phys       Date:  2015-11-28       Impact factor: 2.242

5.  Reliability of a modified motor unit number index (MUNIX) technique.

Authors:  Ryan D Kaya; Richard L Hoffman; Brian C Clark
Journal:  J Electromyogr Kinesiol       Date:  2013-10-16       Impact factor: 2.368

6.  Techniques of EMG signal analysis: detection, processing, classification and applications.

Authors:  M B I Raez; M S Hussain; F Mohd-Yasin
Journal:  Biol Proced Online       Date:  2006-03-23       Impact factor: 3.244

7.  Motor Unit Number Estimation (MUNE) Free of Electrical Stimulation or M Wave Recording: Feasibility and Challenges.

Authors:  Maoqi Chen; James Bashford; Ping Zhou
Journal:  Front Aging Neurosci       Date:  2022-02-11       Impact factor: 5.702

8.  Evaluation of Peripheral Electrostimulation Thresholds in Human Model for Uniform Magnetic Field Exposure.

Authors:  Yosuke Suzuki; Jose Gomez-Tames; Yinliang Diao; Akimasa Hirata
Journal:  Int J Environ Res Public Health       Date:  2021-12-30       Impact factor: 3.390

  8 in total

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