Clinical Applications of Spectral Analysis of EMG

Lindström, Lars; Malmström, Jari; Petersén, I.

doi:10.1007/978-3-642-70122-1_20

Advances in Applied Neurological Sciences

1985

DOI: 10.1007/978-3-642-70122-1_20

|View full text |Cite

Clinical Applications of Spectral Analysis of EMG

Lars Lindström

Jari Malmström²,

I. Petersén³

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

1992

2000

Publication Types

Select...

Article4

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, Gardner-Medwin 87 concluded that the analysis of individual motor unit potentials was more sensitive for detecting myopathy than was the analysis of the frequency spectrum. Other studies 135,184,212 of the power spectrum of EMG in patients with neuromuscular disorders have not clarified the diagnostic possibilities.…”

mentioning

confidence: 96%

The utility of interference pattern analysis

Fuglsang-Frederiksen

2000

Muscle Nerve

View full text Add to dashboard Cite

mentioning

confidence: 96%

The utility of interference pattern analysis

Fuglsang-Frederiksen

2000

Muscle Nerve

View full text Add to dashboard Cite

Needle EMG of the human diaphragm: Power spectral analysis in normal subjects

et al. 1996

View full text Add to dashboard Cite

Muscle fiber conduction velocity and mean power spectrum frequency in neuromuscular disorders and in fatigue

Yaar

Niles

1992

Muscle and Nerve

View full text Add to dashboard Cite

This study investigated the relation of muscle fiber conduction velocity (MFCV) to difference power spectrum mean frequency (MF), their fatigue trends, and differences between their values and their fatigue trends in various neuromuscular disorders. Electromyographic interference pattern was recorded inside the biceps in continuous isometric maximal voluntary contractions. Each subject was encouraged to pull for as long as possible. Fatigue was calculated as percent of time to complete inability to sustain contraction. The MFCV was computed by cross-correlation. The MF was computed by differencing, windowing, FFT, squaring of coefficient, and repeat averaging. There were 33 healthy, 86 polyneuropathic, 28 myasthenic, 13 myotonic, and 32 myopathic patients. Both MFCV and MF changed significantly with fatigue--the MFCV linearly, while the MF in a markedly nonlinear fashion. Both were found to be insensitive to the end stages of muscle fatigue--the MFCV did not change its slope toward complete fatigue, and the MF did not change at all beyond the 40% fatigue point. A statistically sound fatigue regression equation was derived for each, and a nonlinear equation was found to best describe their relationship. Neither MFCV nor its fatigue changes were found to be significantly different across the neuromuscular disorders. The MF, however, was found to be significantly different in some neuromuscular disorders in both its average values and fatigue trends. This study showed, in contrast to the literature, a nonlinear relationship between MFCV and MF. It also shows that neither the MFCV nor the MF had reasonable diagnostic power on its own; however, the MF was very promising to serve as an adjunct to other variables.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Clinical Applications of Spectral Analysis of EMG

Cited by 4 publications

References 9 publications

The utility of interference pattern analysis

The utility of interference pattern analysis

Needle EMG of the human diaphragm: Power spectral analysis in normal subjects

Muscle fiber conduction velocity and mean power spectrum frequency in neuromuscular disorders and in fatigue

Contact Info

Product

Resources

About