Open AccessEstimation of a single motor unit's threshold and activation range, a study on patients with muscular disorders
Author(s) -
Nammam Ali Azadi,
Daem Roshani
Publication year - 2015
Publication title -
international journal of applied and basic medical research/international journal of applied and basic medical research
Language(s) - English
Resource type - Journals
eISSN - 2248-9606
pISSN - 2229-516X
DOI - 10.4103/2229-516x.165380
Subject(s) - outlier , bayesian probability , clinical neurophysiology , bayes estimator , neurophysiology , computer science , motor unit , overdispersion , correlation , bayesian information criterion , electromyography , range (aeronautics) , stimulus (psychology) , artificial intelligence , pattern recognition (psychology) , statistics , mathematics , psychology , electroencephalography , neuroscience , poisson distribution , cognitive psychology , engineering , geometry , count data , aerospace engineering
In clinical neurophysiology, threshold tracking studies are used to evaluate the functionality of a muscle through studying the functionality of its motor units (MUs) that govern the muscle. The functionality of an MU can be quantified by estimation of its excitability properties via MU's stimulus-response curve. In this study, we aim to develop a model-based approach to estimate MU's threshold mean and its activation range as indications of MU's excitability. This is a different approach from routine strategies in neurophysiology, which are mostly subjective.