Muscle & Nerve · 2002 · 37 citations · 12 references
MedicineAnatomyNeurologyClinical AnatomyElectrodiagnostic MedicineMovement AnalysisElectromyogram AnalysisMotor Function AssessmentMuscle PhysiologyMuscle Signal ProcessingNeuromuscular PhysiologyDiagnostic SensitivityElectromyographyElectromyography Of Sphincter MuscleMotor PotentialPrincipal ComponentsProbit RegressionSensitivitySphincter Electromyography
The diagnostic utility of motor unit potential (MUP) parameters is usually based exclusively on their diagnostic sensitivity, disregarding specificity. In the present study, advanced statistical methods were used to determine MUP parameters with the highest predictive power for the separation of neuropathic and normal external anal sphincter (EAS) muscles. Using multi-MUP analysis, 3,720 MUPs from 138 muscles of 52 patients with cauda equina lesion and 2,526 from 112 muscles of 64 controls were obtained. Only two principal components (PCs), which put weight on the MUP area and amplitude, were needed to explain all the data variability. On logistic and probit regression analyses, MUP area, duration, and number of turns gave results identical to all MUP parameters. Our results suggest that only these three MUP parameters are needed, and that they are as effective as PCs, in MUP analysis of chronic neuropathic EAS muscles. Reduced number of MUP parameters is expected to simplify MUP analysis and increase its specificity.
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Reference values of motor unit action potentials obtained with multi‐MUAP analysis
Christian Bischoff, Erik Stålberg, Björn Falck et al. · Muscle & Nerve · 1994 · 173 citations
Masahiro Sonoo, Erik Stålberg · Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section · 1993 · 155 citations
Outliers, a way to detect abnormality in quantitative EMG
Erik Stålberg, Christian Bischoff, Björn Falck · Muscle & Nerve · 1994 · 131 citations
Medicine, Neurology, Neuroscience +13