ReviewEntropy (Basel, Switzerland)2020
Complexity Analysis of Surface Electromyography for Assessing the Myoelectric Manifestation of Muscle Fatigue: A Review.
Review in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
50 citing papers in PubMed, 1 synthesis or guideline pooled it, 139 citations in OpenAlex.
- Alterations in Physical Demands During Virtual/Augmented Reality-Based Tasks: A Systematic Review.Annals of biomedical engineering · 2023Pooled it
- The effect of transcutaneous electrical nerve stimulation on fatigue recovery in recreational rowers.PeerJ · 2025Trial
- Diurnal Nonlinear Recurrence Metrics of Skin Temperature and Their Association with Metabolic Hormones in Contrasting Climate Settings: A Randomized Cross-Over Trial.International journal of environmental research and public health · 2022Trial
- Upper Limb Fatigue Information Variation Analysis Based on Parallel Brain and Muscle Functional Networks.Annals of biomedical engineering · 2026Article
- Real-time continuous assessment of fatigue from surface electromyography with deep learning for training load regulation in elite cyclists.BMC sports science, medicine & rehabilitation · 2026Article
- Supporting upper limb movements with a soft robot after a brachial plexus injury.Nature communications · 2026Article
- Masticatory Muscle Function in Growing Patients with Unilateral Posterior Crossbite: A Case-Control Study Combining Surface Electromyography and Myotonometry.Dentistry journal · 2026Article
- Assessment of Muscle Function Decline and Cachexia-Related Biomarkers in Hospitalized Oncology Patients: Study Protocol.Biomedicines · 2026Article
- Longitudinal analysis of neuromuscular adaptation using entropy and PCA during motor learning.Journal of physiological anthropology · 2026Article
- Assessment of surface EMG biomarkers in sarcopenic motor dysfunction during postural stabilization.GeroScience · 2026Article
- Wearable and Implantable Devices for Continuous Monitoring of Muscle Physiological Activity: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Effect of fatigue on neuromuscular adaptations in endurance-trained and recreationally active males.PeerJ · 2026Article
- Multimodal assessment of exercise-induced fatigue: integrating cardiopulmonary, neuromuscular, and biomechanical profiling in high-intensity running.Frontiers in sports and active living · 2026Article
- Perceived fatigue progression tracking during manual handling tasks using sEMG recordings.Journal of neuroengineering and rehabilitation · 2025Article
- Model-based analysis of sEMG signals using Stockwell transform features under varied muscle fiber composition and conduction velocity.Medical & biological engineering & computing · 2025Article
- Estimation of Respiratory Effort Through Diaphragmatic Electromyography Features.Sensors (Basel, Switzerland) · 2025Article
- Surface electromyography markers of motor learning during laparoscopic skill acquisition: associations with performance and movement efficiency.Journal of robotic surgery · 2025Article
- Characterization of Muscle Fatigue Degree in Cyclical Movements Based on the High-Frequency Components of sEMG.Biomimetics (Basel, Switzerland) · 2025Article
- The intricate link between anterior cruciate ligament rupture and lower limb muscle fatigue: a case study.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025Article
- Epimedin C enhances mitochondrial energy supply by regulating the interaction between MIC25 and UBC in rodent model.PloS one · 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
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The surface electromyography (sEMG) records the electrical activity of muscle fibers during contraction: one of its uses is to assess changes taking place within muscles in the course of a fatiguing contraction to provide insights into our understanding of muscle fatigue in training protocols and rehabilitation medicine. Until recently, these myoelectric manifestations of muscle fatigue (MMF) have been assessed essentially by linear sEMG analyses. However, sEMG shows a complex behavior, due to many concurrent factors. Therefore, in the last years, complexity-based methods have been tentatively applied to the sEMG signal to better individuate the MMF onset during sustained contractions. In this review, after describing concisely the traditional linear methods employed to assess MMF we present the complexity methods used for sEMG analysis based on an extensive literature search. We show that some of these indices, like those derived from recurrence plots, from entropy or fractal analysis, can detect MMF efficiently. However, we also show that more work remains to be done to compare the complexity indices in terms of reliability and sensibility; to optimize the choice of embedding dimension, time delay and threshold distance in reconstructing the phase space; and to elucidate the relationship between complexity estimators and the physiologic phenomena underlying the onset of MMF in exercising muscles.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.