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Open research questions in Muscle activation and electromyography studies

34 unresolved questions extracted from the limitations and future-work sections of 389 Muscle activation and electromyography studies papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • Whether these inputs are also shared with rectus femoris (RF), a synergist muscle that contributes substantially to leg extension but is biarticular, remains unknown.

    The Human Rectus Femoris Muscle Receives an Independent Common Synaptic Input During Isometric Leg Extensions · 2026 · DOI

  • Only limited studies have attempted to estimate CVD using continuous parametric models because deterministic optimization approaches, such as gradient-based methods, often face computational challenges when nonlinear CVD functions are considered.

    Prediction of conduction velocity distribution and motor unit action potential from evoked compound muscle action potential: a novel metaheuristic-based framework · 2026 · DOI

  • Energy expenditure (EE) during running depends on the interplay between active muscle work and elastic energy storage and return, yet the relative contribution of mechanical power to EE remains debated.

    Lower-limb mechanical power accounts for running energy expenditure and enables single-IMU estimation · 2026 · DOI

  • Future work could investigate more adaptive clustering approaches, to narrow the performance gap between automatic and manual inspected clustering to make the framework more suitable for fully automated post-processing. Future work could investigate alternative evaluation metrics for dynamic contractions, fatigue, and conditions with intermittent or non-stationary MU firing.

    PCA-Guided Separation of Mixed Motor Unit Sources in High-Density EMG · 2026 · DOI

  • While these adaptations have been well documented at the motor unit (MU) level during submaximal force contractions, the mechanisms underlying force increases during maximal voluntary contractions are poorly understood.

    Unilateral resistance training induces greater rate coding adaptations in high-threshold motor units during maximal voluntary contractions · 2026 · DOI

  • Future research should consider differential activation across the medial, lateral, and long heads. The primary limitation of this study is the potential for electrode displacement relative to the underlying muscle due to changes in elbow positioning, which may alter the spatial relationship between the electrode and the muscle fibres, thereby affecting the fidelity of the EMG signal and the accuracy of subsequent Journal of Exercise Therapy and Rehabilitation Dürümlü et al 55 thus, measurements. The fourth limitation of this study is that actual torque or force production was not directly measured; only surface EMG RMS amplitudes were analysed.

    Comparative analysis of the maximum voluntary isometric contraction of the biceps brachii and triceps brachii at different elbow angles · 2026 · DOI

  • These findings suggest that mechanical and neuromuscular demands may be redistributed across lower-limb joints under acute fatigue conditions; however, given that this study was conducted in healthy young males, the relevance of these findings to stair-related instability or fall risk in more vulnerable populations should be examined in future studies.

    The Impact of Localized Muscle Fatigue on Multi-Joint Biomechanical Strategies During Stair Ascent · 2026 · DOI

  • Fifth, absence of prospective injury validation: The biomechanical compensation patterns identified in this study—particularly reduced knee flexion and a trend toward higher shoulder internal rotation velocity—carry theoretical injury-risk implications (Kovacs and Ellenbecker, 2011; Fleisig and Escamilla, 1996); however, direct validation against prospective injury outcomes was beyond the scope of this study.

    A multimodal spatio-temporal graph neural network framework for fatigue detection in tennis serving · 2026 · DOI

  • One limitation of this study was the unintentional inclusion of exclusively right-handed participants. Although a small proportion of participants self-reported as left-handed (n=6), the EHI score indicated right-hand bias. This may not be representative of true population proportions, however, and instead may be due to the relatively small sample size of this study. Similarly, 40 of the 54 participants in the study were female. This can be explained by smaller sample sizes and convenient population sampling of college students. Throughout the data collection process, minor collection discrepancies were accounted for. One participant withdrew from the study due to a personal situation during data collection. The participant revoked their consent to participate, and the research session was terminated immediately. Their data were removed from the dataset. During another session, one user ID was claimed by 2 distinct participants during the data collection process. Since both participants completed the study independently of each other, the datasets were differentiated with an (a) and (b) at the end of their identifier, and both datasets were used in the final analysis. The aim of this study was to explore trends in novice users as they were exposed to different controls. This study used a proxy population of college-aged students who had full control of their upper extremities, which is not fully representative of our target population of prosthesis users. Although these findings cannot be completely generalized to prosthesis users, the intention of this initial testing is to ensure positive outcomes among users before implementation in limb-different population groups. Additionally, the target population is primarily pediatric patients, which is seen as a vulnerable population group for testing purposes. In order to limit confounding variables, such as JMIR Rehabil Assist Technol 2026 | vol. 13 | e88528 | p.

    Multigesture Electromyographic Control Complexity in Upper Limb Prostheses Actuated via Single Sensor Input Contraction Magnitude: Qualitative Study for Evaluating Performance and Cognitive Load · 2026 · DOI

  • The paper lacks discussion of cross-subject generalization and robustness across different EMG recording conditions, sensor types, and individual physiological variations.

    AI-Driven EMG Monitoring and Decision Support Framework · 2026 · DOI

  • Deeper SAEs require a larger volume of diverse training data to achieve reliable performance—a requirement that is often unmet, particularly in biomedical datasets like EMG, respiration, or stroke vitals signals.

    AI-Driven EMG Monitoring and Decision Support Framework · 2026 · DOI

  • While certain studies have explored the isolated effects of hip position or breathing on abdominal EMG activity, there is limited evidence on how their interaction affects abdominal EMG activity, particularly during functional tasks such as SB.

    Electromyographic analysis of abdominal muscle activation during side bridge variations: effects of hip angle and breathing pattern · 2025 · DOI

  • Background: Even though inertial measurement units (IMU) are already being used experimentally for evaluating movements of segment of the axial skeleton, no studies have been found which have used IMUs to measure the behavior of the segments of upper limbs during quiet stance.

    The application of accelerometers to measure movements of upper limbs: Pilot study · 2017 · DOI

  • Inhibitory reflexes during voluntary contractions are well described; however, few studies have attempted to use such reflex-mechanisms to modulate electromyographic (EMG) activity in jaw-closing muscles during sleep.

    Effect of conditioning electrical stimuli on temporalis electromyographic activity during sleep · 2007 · DOI

  • However, the functional, skeletal muscle and molecular mechanisms underpinning power loss across the female lifespan remain to be collectively examined.

    Muscle mass and denervation explain variability in maximal power and rapid force across the adult female lifespan · 2026 · DOI

  • However, the mechanism through which this preparation is expressed, whether through motor-unit recruitment or discharge-rate modulation, remains to be elucidated.

    Anticipatory modulation of motor unit discharge rate before rapid isometric elbow flexion force production · 2026 · DOI

  • The complete thigh-calf contact forces including both tangential and normal force components during dynamic deep squatting tasks have not been evaluated previously.

    Quantification of thigh-calf contact forces during high knee-flexion tasks · 2026 · DOI

  • The study evaluates performance on EMG data, but generalization to other biomedical signal types (respiration, stroke vitals) remains unexplored.

    AI-Driven EMG Monitoring and Decision Support Framework · 2026 · DOI

  • These results suggest that further testing of prolonged surface EMG biofeedback is warranted.

    Prolonged Electromyogram Biofeedback Improves Upper Extremity Function in Children With Cerebral Palsy · 2010 · DOI

  • From these results, it may be concluded that this recording apparatus is the most suitable apparatus for the further research of physiological movement of the mandible.

    Study on the Mandibular Movement Recording with Apparatus application of the Semiconductor Position Sensitive Detector · 1981 · DOI

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34 open questions have been extracted from the limitations and future-work passages of 389 Muscle activation and electromyography studies papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

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