ReviewFrontiers in systems neuroscience2022
Application of Surface Electromyography in Exercise Fatigue: A Review.
Review in Frontiers in systems neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 42 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Role of Artificial Intelligence in Predicting Muscle Fatigue Using Virtual Reality Training In Healthy And Post COVID19 Subjects
Electroacupuncture With Different Pulse Patterns for the Post-acute Phase of Bell's Palsy: a Study Protocol for a Randomized Controlled Trial With Surface Electromyography Evaluation
Who cites it
42 citing papers in PubMed.
- Effects of Menthol Mouth Rinsing on Performance and Surface EMG Activity During Heat-Stressed Cycling.Nutrients · 2026Trial
- Trial
- Muscle Fatigue Investigation Using sEMG Signals and a DAQ Card Data Acquisition System in LabVIEW.Sensors (Basel, Switzerland) · 2026Article
- Reduced paraspinal muscle endurance and electromyographic fatigability are associated with greater global spinal imbalance in symptomatic lumbar spinal stenosis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Effects of Pre-Competition Neuromuscular Electrical Stimulation Activation on Forward Lunge Performance and Neuromuscular Control in Squash Athletes: An Analysis Based on Timing and Electromyographic Sensors.Sensors (Basel, Switzerland) · 2026Article
- How few channels suffice? A hierarchical validation framework for minimal-channel wearable sEMG in upper-limb rehabilitation gesture recognition.Journal of neuroengineering and rehabilitation · 2026Article
- Sport specific differences in upper limb median frequency responses during isometric push and pull tasks in volleyball and fitness athletes.BMC sports science, medicine & rehabilitation · 2026Article
- Enhanced smart commuting with artificial intelligence for intelligent health and safety monitoring in school buses.Scientific reports · 2026Article
- Assessment of surgical proficiency based on evaluating muscle activity, bimanual muscle coordination, and fatigue susceptibility in simulated laparoscopic tasks.Medical & biological engineering & computing · 2026Article
- Muscle Fatigue in Dynamic Movement: Limitations and Challenges, Experimental Design, and New Research Horizons.Bioengineering (Basel, Switzerland) · 2026Review
- Muscle Fatigue Assessment in Healthcare Application by Using Surface Electromyography: A Transfer Learning Approach.Sensors (Basel, Switzerland) · 2026Article
- A multi-scale dual-stream fusion network for high-accuracy sEMG-based gesture classification.Scientific reports · 2026Article
- Continuous wavelet transform-based analysis of shoulder muscle fatigue during dynamic abduction: a surface electromyography study.Frontiers in bioengineering and biotechnology · 2026Article
- Cross-bridge model-based quantification of muscle metabolite alterations leading to fatigue during all-out knee extension exercise.Frontiers in physiology · 2026Article
- Multimodal assessment of exercise-induced fatigue: integrating cardiopulmonary, neuromuscular, and biomechanical profiling in high-intensity running.Frontiers in sports and active living · 2026Article
- FRFNet: a fatigue-robust EEG-EMG fusion network for hand movement intention recognition.Frontiers in human neuroscience · 2026Article
- Automated Neuromuscular Assessment: Machine-Learning-Based Facial Palsy Classification Using Surface Electromyography.Sensors (Basel, Switzerland) · 2025Article
- A Wearable System for Knee Osteoarthritis: Based on Multimodal Physiological Signal Assessment and Intelligent Rehabilitation.Sensors (Basel, Switzerland) · 2025Article
- Exploratory Investigation of Motor and Psychophysiological Outcomes Following VR-Based Motor Training with Augmented Sensory Feedback for a Pilot Cohort with Spinal Cord Injury.Bioengineering (Basel, Switzerland) · 2025Article
- The fatigue status feature of bicycle movement based on deep learning and signal processing technology.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Exercise fatigue is a common physiological phenomenon in human activities. The occurrence of exercise fatigue can reduce human power output and exercise performance, and increased the risk of sports injuries. As physiological signals that are closely related to human activities, surface electromyography (sEMG) signals have been widely used in exercise fatigue assessment. Great advances have been made in the measurement and interpretation of electromyographic signals recorded on surfaces. It is a practical way to assess exercise fatigue with the use of electromyographic features. With the development of machine learning, the application of sEMG signals in human evaluation has been developed. In this article, we focused on sEMG signal processing, feature extraction, and classification in exercise fatigue. sEMG based multisource information fusion for exercise fatigue was also introduced. Finally, the development trend of exercise fatigue detection is prospected.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.