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Open research questions in Muscle activation and electromyography studies

115 unresolved questions extracted from the limitations and future-work sections of 505 Muscle activation and electromyography studies papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • Sample sizes were limited due to requirements for medical supervision, cost, and logistics. No prior effect size was available for a formal sample size estimation for PIC-related estimates. Bed rest studies are constrained by requirements for medical supervision, cost, and logistics.

    Bed rest and endurance retraining alter persistent inward current estimates in young and older males · 2026 · DOI

  • Investigate the mechanisms underlying deconditioning in both young and older adults. Examine the effects of different types of exercise-based recovery on motoneuron excitability. Study the long-term effects of bed rest and retraining on neural and functional adaptations.

    Bed rest and endurance retraining alter persistent inward current estimates in young and older males · 2026 · DOI

  • The joint range of motion showed lower reliability, especially at higher speeds. Systematic biases remained small and clinically acceptable. The study identified challenges in interpreting joint kinematics and speed at different walking speeds.

    Effect of Walking Speed on the Reliability of a Smartphone-Based Markerless Gait Analysis System · 2025 · DOI

  • further studies on larger and more diverse populations, - investigation of OpenCap's reliability in clinical settings, - comparison of OpenCap with other markerless systems

    Effect of Walking Speed on the Reliability of a Smartphone-Based Markerless Gait Analysis System · 2025 · DOI

  • Although A-mode ultrasound can outperform sEMG at fixed positions, it is more sensitive to positional changes, an issue that has rarely been examined.

    IMU-weighted multimodal fusion for robust gesture recognition across arm positions · 2026 · DOI

  • However, previous studies have primarily considered changes in individual muscle state variables, whereas the hysteresis behavior associated with simultaneous changes in muscle length and force, remains insufficiently understood.

    A “thermodynamic” model of synergistic interaction of human elbow flexor muscles during simultaneous change in their length and force · 2026 · DOI

  • We further discuss a unified interpretation that might explain the conflicting evidence previously encountered in the physical fatigue literature.

    Modulation of beta oscillatory dynamics in motor and frontal areas during physical fatigue · 2025 · DOI

  • Data augmentation can help address these limitations, but its use in biomechanical time-series data remains insufficiently evaluated.

    Data augmentation of time-series data in human movement biomechanics: A scoping review · 2025 · DOI

  • CONCLUSION: This review highlights the importance of data augmentation in addressing limited data availability and improving model generalization in biomechanics.

    Data augmentation of time-series data in human movement biomechanics: A scoping review · 2025 · DOI

  • Conclusions Overall, the Modified Hodges, Gaussian and Laplacian Approximate Generalized Likelihood Ratio, and the Fuzzy Entropy detectors were identified as the potential candidates that warrant further investigation with real surface EMG data since they had consistent detection performance on low SNR EMG data.

    A systematic investigation of detectors for low signal-to-noise ratio EMG signals · 2024 · DOI

  • Although numerous algorithms for EMG detection exist, the detector with the highest accuracy and lowest latency for low signal-to-noise ratio (SNR) remains unknown.

    A systematic investigation of detectors for low signal-to-noise ratio EMG signals · 2024 · DOI

  • The proposed framework is limited by the availability of high-quality EMG data, and further research is needed to develop more effective and efficient data collection and processing methods. The framework is also limited by the complexity of the digital twin model, and further research is needed to develop more simplified and interpretable models.

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

  • There is a need for more effective and efficient solutions for EMG monitoring and decision support. There is a need for further research and development in the use of digital twin technology for healthcare applications. There is a need for more simplified and interpretable digital twin models for EMG monitoring and decision support.

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

  • To investigate the robustness of the LSTAM model to noise and interference. To evaluate the performance of the model on a diverse range of subjects and environments. To develop more advanced models that can integrate multiple modalities of biosignals and achieve better performance in joint moment prediction.

    Long short-term attention memory (LSTAM): a global-feature-integrated model for joint moment prediction in human rehabilitation · 2026 · DOI

  • Existing methods for joint moment prediction have limitations in capturing global features and temporal complexity. There is a need for a model that can integrate global features from biosignals and achieve state-of-the-art performance in joint moment prediction.

    Long short-term attention memory (LSTAM): a global-feature-integrated model for joint moment prediction in human rehabilitation · 2026 · DOI

  • Nonconformal device/skin interfaces. Poor wearability. Anatomical variability among users. Limited signal fidelity and stimulation precision.

    Drawn-on-skin electronic tattoo as a closed-loop sensing-stimulation system for the muscles · 2026 · DOI

  • Current systems for electromyography sensing and electrical stimulation often suffer from nonconformal device/skin interfaces and poor wearability. Traditional ES approaches often use generalized treatment protocols, which may not account for individual variability in anatomy, physiology, or pathology.

    Drawn-on-skin electronic tattoo as a closed-loop sensing-stimulation system for the muscles · 2026 · DOI

  • Crosstalk between signals of multiple muscles. Insufficient accuracy for simultaneous movements of multiple degrees of freedom (DoFs). Limited sparsity and interpretability of the factorized results.

    Musculoskeletal modeling based on deep-nsNMF for multi-DoF motion decoding · 2026 · DOI

  • Conventional methods only allow discrete control of a single degree of freedom (DoF). Pattern recognition-based approaches still operate in a discrete manner and struggle to achieve synchronous, proportional, and continuous control across multiple DoFs.

    Musculoskeletal modeling based on deep-nsNMF for multi-DoF motion decoding · 2026 · DOI

  • Prior work has focused on complex and larger motions of wrist, hand, and arm. There is a need for more accurate and natural human-computer interaction systems.

    HAND GESTURE RECOGNITION FOR EMG SIGNAL BASED ON DIFFERENT MACHINE LEARNING METHODS · 2026 · DOI

  • Further research could explore the application of TransTCNet in various real-time applications such as adaptive user interfaces, virtual and augmented reality, prosthetic control, and communication systems

    TransTCNet: Transformer-Based Temporal-Contextual Network for Low-Latency Typing Interfaces on Edge Devices · 2026 · DOI

  • Character-level typing recognition poses greater challenges than coarse gesture recognition due to subtle temporal variations and overlapping muscle dynamics. Prior work has focused on coarse gesture recognition, but character-level recognition requires more precise models.

    TransTCNet: Transformer-Based Temporal-Contextual Network for Low-Latency Typing Interfaces on Edge Devices · 2026 · DOI

  • The non-stationarity and stochastic noise in raw sEMG signals. The need for a distributed computational pipeline to transition from biological movements to mechanical actions. The requirement for advanced AI-based teleoperation in a portable design.

    Portable Holonomic Educational Robot Platform for Home Laboratory—Study Case: AI-Based Electromyography Control · 2026 · DOI

  • The lack of portable, low-cost robotic platforms that can bridge the gap between theoretical modeling and physical experimentation outside the laboratory. The need for a scalable framework for the next generation of laboratory-at-home educational tools and research regardless of physical location. The requirement for advanced AI-based teleoperation in a portable design.

    Portable Holonomic Educational Robot Platform for Home Laboratory—Study Case: AI-Based Electromyography Control · 2026 · DOI

  • The paper identifies the challenge posed by noise and variability in sEMG signals as a research gap. It also mentions that the fixed forearm posture during data collection limited model generalizability.

    Motion Intention Prediction Using Wireless Surface EMG Sensors · 2026 · DOI

Most-cited papers in Muscle activation and electromyography studies

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115 open questions have been extracted from the limitations and future-work passages of 505 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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