title: Optimizing and standardizing quantitative EMG.
abstract: Quantitative EMG (QEMG) is a useful technique to diagnose subtle neuromuscular disorders. Automated QEMG techniques rely upon computer algorithms to extract motor unit action potentials (MUAPs). A number of different algorithms are available and we have compared the performance of three of them. We have also assessed a number of variables related to the operations performed by the algorithms, including marking of MUAP metrics, data acquisitions time, and effects of raising the high-pass filter. We have also assessed whether there are differences in MUAP metrics depending upon where the needle is placed in the muscle.
authors: Department of Neurology, Clinical Neurosciences Center, University of Utah, Salt Lake City, UT 84132, USA.
authors: Alexander A
authors: AA
authors: Brownell
authors: Mark B
authors: MB
authors: Bromberg
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D004576:Electromyography / Q000379:methods* / Q000592:standards*; D006801:Humans; D008959:Models, Neurological; D009046:Motor Neurons / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology; D013223:Statistics as Topic / Q000379:methods / Q000592:standards*