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Analysis of intramuscular electromyogram signals.
Philos Trans A Math Phys Eng Sci. 2009 Jan 28; 367(1887):357-68.PT

Abstract

Intramuscular electromyographic (EMG) signals are detected with needles or wires inserted into muscles. With respect to non-invasive techniques, intramuscular electromyography has high selectivity for individual motor unit action potentials and is thus used to measure motor unit activity. Decomposition of intramuscular signals into individual motor unit action potentials consists in detection and classification, usually followed by separation of superimposed action potentials. Although intramuscular EMG signal decomposition is the primary tool for physiological investigations of motor unit properties, it is rarely applied in clinical routine, because of the need for human interaction and the difficulty in interpreting the quantitative data provided by EMG signal decomposition to support clinical decisions. The current clinical use of intramuscular EMG signals relates to the diagnosis of myopathies, of diseases of the alpha-motor neuron and of the neuromuscular junction through the analysis of the interference signal or of the shape of some motor unit action potentials, usually without a full decomposition of the signal.

Authors+Show Affiliations

Laboratorio di Ingegneria del Sistema Neuromuscolare (LISIN), Dipartimento di Elettronica, Politecnico di Torino, 10129 Torino, Italy. roberto.merletti@polito.itNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't
Review

Language

eng

PubMed ID

19008187

Citation

Merletti, Roberto, and Dario Farina. "Analysis of Intramuscular Electromyogram Signals." Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences, vol. 367, no. 1887, 2009, pp. 357-68.
Merletti R, Farina D. Analysis of intramuscular electromyogram signals. Philos Trans A Math Phys Eng Sci. 2009;367(1887):357-68.
Merletti, R., & Farina, D. (2009). Analysis of intramuscular electromyogram signals. Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences, 367(1887), 357-68. https://doi.org/10.1098/rsta.2008.0235
Merletti R, Farina D. Analysis of Intramuscular Electromyogram Signals. Philos Trans A Math Phys Eng Sci. 2009 Jan 28;367(1887):357-68. PubMed PMID: 19008187.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Analysis of intramuscular electromyogram signals. AU - Merletti,Roberto, AU - Farina,Dario, PY - 2008/11/15/pubmed PY - 2009/5/12/medline PY - 2008/11/15/entrez SP - 357 EP - 68 JF - Philosophical transactions. Series A, Mathematical, physical, and engineering sciences JO - Philos Trans A Math Phys Eng Sci VL - 367 IS - 1887 N2 - Intramuscular electromyographic (EMG) signals are detected with needles or wires inserted into muscles. With respect to non-invasive techniques, intramuscular electromyography has high selectivity for individual motor unit action potentials and is thus used to measure motor unit activity. Decomposition of intramuscular signals into individual motor unit action potentials consists in detection and classification, usually followed by separation of superimposed action potentials. Although intramuscular EMG signal decomposition is the primary tool for physiological investigations of motor unit properties, it is rarely applied in clinical routine, because of the need for human interaction and the difficulty in interpreting the quantitative data provided by EMG signal decomposition to support clinical decisions. The current clinical use of intramuscular EMG signals relates to the diagnosis of myopathies, of diseases of the alpha-motor neuron and of the neuromuscular junction through the analysis of the interference signal or of the shape of some motor unit action potentials, usually without a full decomposition of the signal. SN - 1364-503X UR - https://www.unboundmedicine.com/medline/citation/19008187/Analysis_of_intramuscular_electromyogram_signals_ L2 - https://royalsocietypublishing.org/doi/10.1098/rsta.2008.0235?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub=pubmed DB - PRIME DP - Unbound Medicine ER -