title: Comparison of three algorithms for multi-motor unit detection and waveform marking.
abstract: Quantitative EMG (QEMG) techniques include automated motor unit action potential (MUAP) detection and marking of clinically useful waveform metrics. Different computer algorithms are available on modern EMG machines to perform these operations rapidly. However, the efficiency and accuracy of available algorithms are rarely directly compared. We have assessed three commercially available algorithms using both synthesized and biologic interference patterns and found differences among algorithms, some of which are clinically significant. Our results point out the importance of assessing for duplicate MUAPs (same waveform detected as two separate waveforms) and accuracy of markings used to determine MUAP metrics.
authors.affiliation: Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah, USA.
authors.forename: Alexander A
authors.initials: AA
authors.lastname: Brownell
authors.forename: Oliver
authors.initials: O
authors.lastname: Ni
authors.forename: Mark B
authors.initials: MB
authors.lastname: Bromberg
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000465:Algorithms; D000703:Analog-Digital Conversion; D003627:Data Interpretation, Statistical; D004558:Electric Stimulation; D004576:Electromyography; D004594:Electrophysiology; D006801:Humans; D008959:Models, Neurological; D009046:Motor Neurons / Q000502:physiology*; D018482:Muscle, Skeletal / Q000166:cytology / Q000502:physiology*; D012984:Software