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Open research questions in Muscle activation and electromyography studies

438 gap statements mined from Muscle activation and electromyography studies papers in our 7.9M-paper local library, which holds 1,923 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • Limited spatial selectivity of conventional surface stimulation. Complexity of tissue properties and electrode-skin interface. Need for anatomically realistic validation of the finite-element framework.

    Spatial Regulation and Steering of Temporal-Interference Electric Fields in an Idealized Cylindrical Forearm Model · 2026 · DOI

  • Staged validation using anatomically realistic models, physical phantoms, physiological experiments, and ultimately human studies is required. Incorporating muscle anisotropy and other tissue properties into the model may provide more accurate results. Experimental validation of the findings is necessary to confirm the results.

    Spatial Regulation and Steering of Temporal-Interference Electric Fields in an Idealized Cylindrical Forearm Model · 2026 · DOI

  • The lack of a progressive, integral evaluation of the acquired signal, taking into account both its informational content and its quality.

    Gestural Intent Detection and Adaptive Restoration of Degraded sEMG Signals Using Temporal Convolutional Networks and an Autoencoder · 2026 · DOI

  • The effect of physiological mirror activity on local muscle metabolism is unknown. Prior studies have not examined the relationship between muscle excitation and local metabolic activity in the resting contralateral forearm.

    Intense unimanual contractions increase muscle excitation and local metabolic activity in the resting contralateral forearm · 2026 · DOI

  • Existing control methods have limitations such as restricted degrees of freedom and complex data requirements. Fully autonomous control methods often lack the flexibility needed for complex tasks. There is a need for a control method that combines machine autonomy with human input for improved task performance.

    Shared Control of Supernumerary Robotic Limbs Using Mixed Realityand Mouth-and-Tongue Interfaces · 2025 · DOI

  • Existing solutions for evaluating and compensating LLD are often expensive and inaccessible to many patients. There is a need for a low-cost and accessible solution for evaluating and compensating LLD. Current prosthetic systems do not have the ability to automatically adjust their length to restore symmetry.

    Compensation of Leg Length Discrepancy Using Computer Vision in a Self-Adaptive Transtibial Prosthesis · 2025 · DOI

  • The paper identifies technical challenges, including the need for near real-time operation and the presence of noise in EMG signals. The paper also highlights the challenge of developing a system that can adapt to individual acquisition conditions and muscle types. Additionally, the paper faces the challenge of evaluating the computational cost of the system across different server types.

    Cloud-Based sEMG Segmentation for Muscle Fatigue Monitoring: A Wavelet–Quantile Approach with Computational Cost Assessment · 2025 · DOI

  • While back-support exoskeletons (BSE) have shown promise in laboratory studies during repetitive tasks, their effectiveness during realistic construction tasks with experienced workers remains poorly understood.

    Individual variability in lumbar muscle activation with passive back-support exoskeletons: an EMG study of experienced construction workers · 2026 · DOI

  • While myoelectric prostheses present the opportunity for more natural and intuitive control when compared to body-powered devices, their effectiveness can be limited by the challenges that come with surface EMG data collection.

    Surface electromyography onset-based processing for control of a robotic arm · 2026 · DOI

  • The extrinsic and intrinsic muscles of the human hand differ in anatomy, motor unit structure, and neural input; however, their relative efficiency in converting evoked reflex activity into functional muscle forces, essential for the development of neural stimulation strategies, remains unclear.

    Spinal Excitability Mediates Reflex-Evoked Force in Intrinsic Versus Extrinsic Finger Muscles · 2026 · DOI

  • Machine learning aids in mapping phantom limb muscle patterns to prosthetic movements, but is limited by the instability of electromyographic signals over time.

    Co-Adaptive Velocity and Position Control of 3-DoFs Prosthesis via Incremental Learning · 2026 · DOI

  • While mechatronics is progressing to overcome poor wrist capabilities of most current prosthetic devices, an efficient control system for a full 3 degrees-of-freedom (DoF) wrist is still lacking.

    A 3-DoF Wrist Control Based on Natural Arm Movements Outperforms Current Myoelectric Prosthesis in VR · 2026 · DOI

  • However, how different types of movement are modulated by the cortico-muscular network in response to a fatigue remains unclear.

    Cortical and Cortico-Muscular Network Modulation Pattern of Eccentric and Concentric Movements in Fatigue State · 2026 · DOI

  • Current research largely focuses on muscle activity in single resistance training repetitions, leaving a gap in understanding neuromuscular fatigue over complete sessions.

    Neuromuscular Fatigue During Heavy Resistance Drop Set Training to Failure · 2026 · DOI

  • However, the efficacy of these approaches to immediately modify spine stiffness has not been compared.

    Immediate Responses to Trunk Muscle Coordination Cueing on Maximal Isometric Lifting Force, Low Back Postural Displacement, Lumbar Spine Rotational Stiffness, and Trunk Muscle Co-Contraction · 2026 · DOI

  • Despite widespread use of DJs in training and assessment, the neural mechanisms and injury risk remain underexplored.

    Load-Dependent Modulation of Intermuscular Coherence During Drop Jumps in Female Athletes: Insights Into the Performance Optimization · 2026 · DOI

  • J Strength Cond Res XX(X): 000-000, 2026-Mechanical outcomes of drop jumps (DJs) are well-documented; however, how mechanical load modulates neuromuscular coordination in female athletes remains unclear -an issue of particular importance for performance and injury.

    Load-Dependent Modulation of Intermuscular Coherence During Drop Jumps in Female Athletes: Insights Into the Performance Optimization · 2026 · DOI

  • J Strength Cond Res XX(X): 000-000, 2026-Plank exercises are fundamental core stability exercises, yet the relationship between muscle activation patterns and perceived exertion remains unclear.

    Core Muscle Activation and Perceived Exertion Across Side Plank and Copenhagen Plank Variations · 2026 · DOI

  • The complexity of user interaction requires high interaction accuracy and timely adaptation to changing gait patterns. Prior methods may not achieve seamless human-machine interaction and control by sensing human intentions.

    Gait Phase Recognition in Multi-Task Scenarios Based on sEMG Signals · 2025 · DOI

  • The scope of the study does not support statistically generalizable conclusions, - A further limitation concerns the interpretation of reconstruction metrics for real recordings, - The study relies on a small sample of two participants with transradial amputation, - The study does not evaluate the system on non-amputee recordings as part of its clinical…

    Gestural Intent Detection and Adaptive Restoration of Degraded sEMG Signals Using Temporal Convolutional Networks and an Autoencoder · 2026 · DOI

  • Investigate the effects of physiological mirror activity on other muscle groups, - Examine the relationship between physiological mirror activity and muscle fatigue, - Study the effects of physiological mirror activity on individuals with motor disorders…

    Intense unimanual contractions increase muscle excitation and local metabolic activity in the resting contralateral forearm · 2026 · DOI

  • Further research could focus on improving the model's real-time performance, - Exploring the application of the proposed method in other human-machine interaction…

    Gait Phase Recognition in Multi-Task Scenarios Based on sEMG Signals · 2025 · DOI

  • Address the impact of lighting conditions on the algorithm - Extend the correction method to other amputated anatomical segments - Simplify the system by reducing the number of markers and minimize environmental errors to reduce error accumulation over time - Evaluate the adjustment frequency during clinical trials in collaboration with medical…

    Compensation of Leg Length Discrepancy Using Computer Vision in a Self-Adaptive Transtibial Prosthesis · 2025 · DOI

  • The study used a limited number of subjects, - The dataset contained variability in total file duration, - The study did not discard a significant portion…

    Cloud-Based sEMG Segmentation for Muscle Fatigue Monitoring: A Wavelet–Quantile Approach with Computational Cost Assessment · 2025 · DOI

  • Finally, this paper discusses open challenges for incremental learning like attribution of signal changes to noise vs.

    (Un)supervised (Co)adaptation via Incremental Learning for Myoelectric Control: Motivation, Review, and Future Directions · 2025 · DOI

Most-cited papers in Muscle activation and electromyography studies

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Open questions raised by papers listed on this page include: (1) The lack of a progressive, integral evaluation of the acquired signal, taking into account both its informational content and its quality (“Gestural Intent Detection and Adaptive Restoration of Degraded sEMG Signals…”, 2026); (2) The effect of physiological mirror activity on local muscle metabolism is unknown (“Intense unimanual contractions increase muscle excitation and local metabolic…”, 2026); (3) While back-support exoskeletons (BSE) have shown promise in laboratory studies during repetitive tasks, their effectiveness during realistic construction tasks with experienced workers remains poorly understood (“Individual variability in lumbar muscle activation with passive back-support…”, 2026); (4) While mechatronics is progressing to overcome poor wrist capabilities of most current prosthetic devices, an efficient control system for a full 3 degrees-of-freedom (DoF) wrist is still lacking (“A 3-DoF Wrist Control Based on Natural Arm Movements Outperforms Current…”, 2026); (5) How different types of movement are modulated by the cortico-muscular network in response to a fatigue remains unclear (“Cortical and Cortico-Muscular Network Modulation Pattern of Eccentric and…”, 2026). 438 gap statements have been mined from Muscle activation and electromyography studies papers in our 7.9M-paper local library, which holds 1,923 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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