Literature DB >> 3724789

Automatic analysis of the electromyographic interference pattern. Part I: Development of quantitative features.

S D Nandedkar, D B Sanders, E V Stålberg.   

Abstract

We have developed three new features of the electromyographic interference pattern (IP), based on the turns and amplitude of the signal, to quantitate some of the features of the IP that are usually assessed subjectively by an electromyographer. The activity measures the fullness of the IP. The upper centile amplitude (UCA) defines the upper limit of the maximum peak-to-peak amplitude of the motor unit action potentials (MUAPs) contained in the IP. The number of small segments (NSS) measures the complexity of the IP, which is a reflection of the polyphasicity of the component MUAPs. The activity and the logarithm of the UCA correlate strongly with the force of muscle contraction at which the IP is measured. The NSS initially increases with the force of contraction and becomes relatively constant at higher force levels. The normal values of these features and the interpretation of their relationships are described in companion papers.

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Year:  1986        PMID: 3724789     DOI: 10.1002/mus.880090508

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  6 in total

1.  A case of persistent thyrotoxic myopathy.

Authors:  G Radetti; C Paganini; B Dordi; L Gentili; G Tomelleri
Journal:  Eur J Pediatr       Date:  1996-07       Impact factor: 3.183

2.  Motor neuron firing dysfunction in spastic patients with primary lateral sclerosis.

Authors:  Mary Kay Floeter; Ping Zhai; Rajiv Saigal; Yongkyun Kim; Jeffrey Statland
Journal:  J Neurophysiol       Date:  2005-04-13       Impact factor: 2.714

3.  Multivariate discriminant analysis of the electromyographic interference pattern: statistical approach to discrimination among controls, myopathies and neuropathies.

Authors:  J Cao; D B Sanders
Journal:  Med Biol Eng Comput       Date:  1996-09       Impact factor: 2.602

4.  Quantitative anal sphincter EMG in multisystem atrophy and 100 controls.

Authors:  R Gilad; N Giladi; A D Korczyn; T Gurevich; M Sadeh
Journal:  J Neurol Neurosurg Psychiatry       Date:  2001-11       Impact factor: 10.154

5.  Non-exercising muscle metabolism during exercise.

Authors:  J C McDermott; G C Elder; A Bonen
Journal:  Pflugers Arch       Date:  1991-05       Impact factor: 3.657

6.  Electrophysiological study of diaphragmatic myoclonus.

Authors:  R Chen; H Remtulla; C F Bolton
Journal:  J Neurol Neurosurg Psychiatry       Date:  1995-04       Impact factor: 10.154

  6 in total

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