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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1016/s1567-...
Part of book or chapter of book . 2009 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Cloud interference pattern analysis (IPA) in thoracic paraspinal muscles in motor neuron disease

Authors: Benn E, Smith;

Cloud interference pattern analysis (IPA) in thoracic paraspinal muscles in motor neuron disease

Abstract

Publisher Summary This chapter discusses that a major challenge for electromyographers is deciphering motor unit potential (MUP) morphology and firing patterns that represent subtle departures from the limits of a normal population of MUPs. While most electromyographers are adept at using qualitative techniques to examine patients with very mild or questionable disease, and can make an accurate diagnosis, there is merit to using quantitative techniques. The chapter reviews and compares efforts to analyze the interference pattern fall into four broad categories: measurement of amplitude, analysis of frequency and power spectrum, spike counting, and most recently decomposition of the motor unit firing rates. Individual MUPs can be isolated from the decomposed firing rates and analyzed for duration, amplitude, morphology, rise time, firing pattern, and other attributes. Efforts to assess MUPs across the spectrum of muscle contractions focus on analyzing aggregate MUP activity rather than on individual MUPs. It is termed as interference pattern analysis (IPA). These techniques rely on computer-based algorithms to work in a semiautomated manner and are available on many commercial electromyography (EMG) systems.

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Keywords

Motor Neurons, Spinal Cord, Electromyography, Action Potentials, Humans, Motor Neuron Disease, Muscle, Skeletal, Electric Stimulation, Muscle Contraction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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