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  1. Article

    Open Access

    Influence of nitrate supplementation on motor unit activity during recovery following a sustained ischemic contraction in recreationally active young males

    Dietary nitrate (NO3) supplementation enhances muscle blood flow and metabolic efficiency in hypoxia, however, its efficacy on neuromuscular function and specifically, the effect on motor unit (MU) activity is l...

    Ozcan Esen, Stephen J. Bailey, Daniel W. Stashuk in European Journal of Nutrition (2024)

  2. Article

    Open Access

    Menstrual Cycle Associated Alteration of Vastus Lateralis Motor Unit Function

    Estrogen and progesterone are the primary female sex hormones and have net excitatory and inhibitory effects, respectively, on neuronal function. Fluctuating concentrations across the menstrual cycle has led t...

    Jessica Piasecki, Yuxiao Guo, Eleanor J. Jones in Sports Medicine - Open (2023)

  3. No Access

    Protocol

    Neuromuscular Function: Intramuscular Electromyography

    Intramuscular electromyography (iEMG) enables the detection of propagating action potentials in contracting skeletal muscles and has provided a wealth of information on the neural input to muscle and its respo...

    Mathew Piasecki, Daniel W. Stashuk in Neuromuscular Assessments of Form and Function (2023)

  4. Article

    Open Access

    Lifelong exercise is associated with more homogeneous motor unit potential features across deep and superficial areas of vastus lateralis

    Motor unit (MU) expansion enables rescue of denervated muscle fibres hel** to ameliorate age-related muscle atrophy, with evidence to suggest master athletes are more successful at this remodelling. Electrop...

    Eleanor J. Jones, Jessica Piasecki, Alex Ireland, Daniel W. Stashuk in GeroScience (2021)

  5. No Access

    Article

    Validating motor unit firing patterns extracted by EMG signal decomposition

    Motor unit (MU) firing pattern information can be used clinically or for physiological investigation. It can also be used to enhance and validate electromyographic (EMG) signal decomposition. However, in all i...

    Hossein Parsaei, Faezeh Jahanmiri Nezhad in Medical & Biological Engineering & Computi… (2011)

  6. Article

    Open Access

    Assessing motor deficits in compressive neuropathy using quantitative electromyography

    Studying the changes that occur in motor unit potential trains (MUPTs) may provide insight into the extent of motor unit loss and neural re-organization resulting from nerve compression injury. The purpose of ...

    Joseph Nashed, Andrew Hamilton-Wright in Journal of NeuroEngineering and Rehabilita… (2010)

  7. Article

    Open Access

    Bayesian aggregation versus majority vote in the characterization of non-specific arm pain based on quantitative needle electromyography

    Methods for the calculation and application of quantitative electromyographic (EMG) statistics for the characterization of EMG data detected from forearm muscles of individuals with and without pain associated...

    Andrew Hamilton-Wright, Linda McLean in Journal of NeuroEngineering and Rehabilita… (2010)

  8. Article

    Open Access

    Motor unit potential morphology differences in individuals with non-specific arm pain and lateral epicondylitis

    The pathophysiology of non-specific arm pain (NSAP) is unclear and the diagnosis is made by excluding other specific upper limb pathologies, such as lateral epicondylitis or cervical radiculopathy. The purpose...

    Kristina M Calder, Daniel W Stashuk in Journal of NeuroEngineering and Rehabilita… (2008)

  9. No Access

    Article

    Diversity-based combination of non-parametric classifiers for EMG signal decomposition

    Non-parametric classification procedures based on a certainty measure and nearest neighbour rule for motor unit potential classification (MUP) during electromyographic (EMG) signal decomposition were explored....

    Sarbast Rasheed, Daniel W. Stashuk, Mohamed S. Kamel in Pattern Analysis and Applications (2008)

  10. No Access

    Chapter

    Statistically Based Pattern Discovery Techniques for Biological Data Analysis

    A statistically based pattern discovery tool is presented that produces a rule-based description of complex data through the set of its statistically significant associations. The rules resulting from this ana...

    Andrew Hamilton-Wright, Daniel W. Stashuk in Applications of Computational Intelligence… (2008)