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Sources of error in the spike-triggered averaging method of motor unit number estimation (MUNE)

dc.contributor.authorBromberg, Mark B.en_US
dc.contributor.authorAbrams, Judith L.en_US
dc.date.accessioned2007-04-06T18:33:42Z
dc.date.available2007-04-06T18:33:42Z
dc.date.issued1995-10en_US
dc.identifier.citationBromberg, Mark B.; Abrams, Judith L. (1995)."Sources of error in the spike-triggered averaging method of motor unit number estimation (MUNE)." Muscle & Nerve 18(10): 1139-1146. <http://hdl.handle.net/2027.42/50163>en_US
dc.identifier.issn0148-639Xen_US
dc.identifier.issn1097-4598en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/50163
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=7659108&dopt=citationen_US
dc.description.abstractMotor unit number estimation (MUNE) is an electrophysical technique to estimate the number of motor units innervating a muscle or muscle group. MUNE may be useful as a measure of progression of lower motor neuron loss in amyotrophic lateral sclerosis (ALS). Several methods of MUNE have been developed. The spike-triggered averaging method can be readily performed on EMG machines with signal averaging capabilities and is suitable for estimating the number of motor neurons innervating proximal muscles. We have used MUNE as a measure of disease state in a drug efficacy trial for ALS. From our experience with this method we have identified sources of error which can affect MUNE accuracy. We have investigated these sources and report their effect on MUNE.© 1995 John Wiley & Sons, Inc.en_US
dc.format.extent670626 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherLife and Medical Sciencesen_US
dc.subject.otherNeuroscience, Neurology and Psychiatryen_US
dc.titleSources of error in the spike-triggered averaging method of motor unit number estimation (MUNE)en_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelNeurosciencesen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Neurology, the University of Michigan, Ann Arbor, Michigan ; Department of Neurology, The University of Utah, 50 North Medical Drive, Salt Lake City, UT 84132en_US
dc.contributor.affiliationumDepartment of Biostatistics, the University of Michigan, Ann Arbor, Michiganen_US
dc.identifier.pmid7659108en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/50163/1/880181010_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/mus.880181010en_US
dc.identifier.sourceMuscle & Nerveen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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