ArticleJournal of rehabilitation and assistive technologies engineering
Influence of muscle fatigue on electromyogram-kinematic correlation during robot-assisted upper limb training.
Article in Journal of rehabilitation and assistive technologies engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Multimuscle Surface-EMG Characterization of Upper-Limb Fatigue During Repetitive Haptic Interaction for Health 5.0 Applications.Bioengineering (Basel, Switzerland) · 2026Article
- Post-Stroke Motor Fatigability: Defining and Studying the Impairments That Emerge During Prolonged Motor Tasks.Neurorehabilitation and neural repair · 2026Review
- Electromyography in abdominal laparoscopic and robot-assisted laparoscopic surgery: A scoping review.PloS one · 2026Article
- Fatigue analysis of the flexor digitorum superficialis muscle using mechanomyogram during moderate-intensity intermittent dynamic tasks.Scientific reports · 2025Article
- Effects of mental fatigue on isometric mid-thigh pull performance and muscle activities.PloS one · 2025Article
- An Optimized Stimulation Control System for Upper Limb Exoskeleton Robot-Assisted Rehabilitation Using a Fuzzy Logic-Based Pain Detection Approach.Sensors (Basel, Switzerland) · 2024Article
- Myoelectric, Myo-Oxygenation, and Myotonometry Changes during Robot-Assisted Bilateral Arm Exercises with Varying Resistances.Sensors (Basel, Switzerland) · 2024Article
- Translation, Adaptation, and Psychometric Testing of the Almere Technology Acceptance Questionnaire (ATAQ) Among Older Adults in China.Clinical interventions in aging · 2022Article
- Human Gait Recognition Based on Multiple Feature Combination and Parameter Optimization Algorithms.Computational intelligence and neuroscience · 2021Article
- EEG Spectral Feature Modulations Associated With Fatigue in Robot-Mediated Upper Limb Gross and Fine Motor Interactions.Frontiers in neurorobotics · 2021Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionStudies on adaptive robot-assisted upper limb training interactions do not often consider the implications of muscle fatigue sufficiently.
methodsTo explore this, we initially assessed muscle fatigue in 10 healthy subjects using two electromyogram features, namely average power and median power frequency, during an assist-as-needed interaction with HapticMaster robot. Since robotic assistance resulted in a variable fatigue profile across participants, a completely tiring experiment, without a robot in the loop, was also designed to confirm the results.
resultsA significant increase in average power and a decrease in median frequency were observed in the most active muscles. Average power in the frequency band of 0.8-2.5 Hz and median frequency in the band of 20-450 Hz are potential fatigue indicators. Also, comparing the Spearman's correlation coefficients (between the electromyogram average power and the kinematic force) across trials indicated that correlation was reduced as individual muscles were fatigued.
conclusionsConfirming fatigue indicators, this study concludes that robotic assistance based on user's performance resulted in lesser muscle fatigue, which caused an increase in electromyogram-force correlation. We now intend to utilise the electromyogram and kinematic features for auto-adaptation of therapeutic human-robot interactions.
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