ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2016
Motor unit number estimation based on high-density surface electromyography decomposition.
Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Bibliometric analysis of surface electromyography trends in stroke rehabilitation research.Frontiers in neurology · 2025Pooled it
- Spatiotemporal Dual-Channel Interpretable Hybrid Neural Network for HD-sEMG-Based Gesture Recognition.Sensors (Basel, Switzerland) · 2026Article
- Magnetomyographic evaluation of motor unit size that is robust to changes in distance to sensor.Brain communications · 2025Article
- Sarcopenia Diagnostic Technique Based on Artificial Intelligence Using Bio-signal of Neuromuscular System: A Proof-of-Concept Study.Brain & NeuroRehabilitation · 2024Article
- A Novel Analysis of Compound Muscle Action Potential Scan: Staircase Function Fitting and StairFit Motor Unit Number Estimation.IEEE journal of biomedical and health informatics · 2023Article
- Motor Unit Number Estimation in Spastic Biceps Brachii Muscles of Chronic Stroke Survivors Before and After BoNT Injection.IEEE transactions on bio-medical engineering · 2023Article
- Motor Unit Number Estimation (MUNE) Free of Electrical Stimulation or M Wave Recording: Feasibility and Challenges.Frontiers in aging neuroscience · 2022Article
- Application Value of the Motor Unit Number Index in Patients With Kennedy Disease.Frontiers in neurology · 2021Article
- CMAP Scan Examination of the First Dorsal Interosseous Muscle After Spinal Cord Injury.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2021Article
- Assessment of grip-motion characteristics in carpal tunnel syndrome patients using a novel finger grip dynamometer system.Journal of orthopaedic surgery and research · 2020Article
- Global Innervation Zone Identification With High-Density Surface Electromyography.IEEE transactions on bio-medical engineering · 2020Article
- A Preliminary Study of Effects of Channel Number and Location on the Repeatability of Motor Unit Number Index (MUNIX).Frontiers in neurology · 2020Article
- Neural control properties of the external anal sphincter in young and elderly women.Neurourology and urodynamics · 2019Article
- Modern Theories of Pelvic Floor Support : A Topical Review of Modern Studies on Structural and Functional Pelvic Floor Support from Medical Imaging, Computational Modeling, and Electromyographic Perspectives.Current urology reports · 2018Review
- Improving the repeatability of Motor Unit Number Index (MUNIX) by introducing additional epochs at low contraction levels.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2017Article
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6 authors.
Funding
Abstract
objectiveTo advance the motor unit number estimation (MUNE) technique using high density surface electromyography (EMG) decomposition.
methodsThe K-means clustering convolution kernel compensation algorithm was employed to detect the single motor unit potentials (SMUPs) from high-density surface EMG recordings of the biceps brachii muscles in eight healthy subjects. Contraction forces were controlled at 10%, 20% and 30% of the maximal voluntary contraction (MVC). Achieved MUNE results and the representativeness of the SMUP pools were evaluated using a high-density weighted-average method.
resultsMean numbers of motor units were estimated as 288±132, 155±87, 107±99 and 132±61 by using the developed new MUNE at 10%, 20%, 30% and 10-30% MVCs, respectively. Over 20 SMUPs were obtained at each contraction level, and the mean residual variances were lower than 10%.
conclusionsThe new MUNE method allows a convenient and non-invasive collection of a large size of SMUP pool with great representativeness. It provides a useful tool for estimating the motor unit number of proximal muscles. SIGNIFICANCE: The present new MUNE method successfully avoids the use of intramuscular electrodes or multiple electrical stimuli which is required in currently available MUNE techniques; as such the new MUNE method can minimize patient discomfort for MUNE tests.
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