ReviewSensors (Basel, Switzerland)2011
A review of non-invasive techniques to detect and predict localised muscle fatigue.
Review in Sensors (Basel, Switzerland), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 5 of them syntheses that pooled it.
What it found
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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
82 citing papers in PubMed, 5 syntheses or guidelines pooled it, 299 citations in OpenAlex.
- A Systematic Review of Sensor Fusion Methods Using Peripheral Bio-Signals for Human Intention Decoding.Sensors (Basel, Switzerland) · 2022Pooled it
- Overuse-Related Injuries of the Musculoskeletal System: Systematic Review and Quantitative Synthesis of Injuries, Locations, Risk Factors and Assessment Techniques.Sensors (Basel, Switzerland) · 2021Pooled it
- The effect of music on simulated surgical performance: a systematic review.Surgical endoscopy · 2019Pooled it
- Effect of phototherapy (low-level laser therapy and light-emitting diode therapy) on exercise performance and markers of exercise recovery: a systematic review with meta-analysis.Lasers in medical science · 2015Pooled it
- The effectiveness of FES-evoked EMG potentials to assess muscle force and fatigue in individuals with spinal cord injury.Sensors (Basel, Switzerland) · 2014Pooled it
- Effect of knee and hip joint positions on passive stiffness of the rectus femoris and vastus lateralis in healthy individuals.Scientific reports · 2026Trial
- The effect of transcutaneous electrical nerve stimulation on fatigue recovery in recreational rowers.PeerJ · 2025Trial
- Surface electromyography after lower level laser therapy application on skeletal muscles in individuals with heart failure.Lasers in medical science · 2019Trial
- Trial
- Effect of quadriceps and calf muscles fatigue on standing balance in healthy young adult males.Journal of musculoskeletal & neuronal interactions · 2018Trial
- Effects of Force Load, Muscle Fatigue, and Magnetic Stimulation on Surface Electromyography during Side Arm Lateral Raise Task: A Preliminary Study with Healthy Subjects.BioMed research international · 2017Trial
- The effect of exercise hypertrophy and disuse atrophy on muscle contractile properties: a mechanomyographic analysis.European journal of applied physiology · 2016Trial
- Predicting Blood Lactate Concentration and Oxygen Uptake from sEMG Data during Fatiguing Cycling Exercise.Sensors (Basel, Switzerland) · 2015Trial
- Muscle Fatigue Investigation Using sEMG Signals and a DAQ Card Data Acquisition System in LabVIEW.Sensors (Basel, Switzerland) · 2026Article
- [Cluster-guided adaptive Transformer for muscle fatigue prediction].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026Article
- Muscle Fatigue in Dynamic Movement: Limitations and Challenges, Experimental Design, and New Research Horizons.Bioengineering (Basel, Switzerland) · 2026Review
- Continuous wavelet transform-based analysis of shoulder muscle fatigue during dynamic abduction: a surface electromyography study.Frontiers in bioengineering and biotechnology · 2026Article
- Localized Muscular Fatigue in Robotic-Assisted Laparoscopic Surgery: Predictive Modeling Study.JMIR formative research · 2025Article
- Fatigue analysis of the flexor digitorum superficialis muscle using mechanomyogram during moderate-intensity intermittent dynamic tasks.Scientific reports · 2025Article
- Comparison of Time-Frequency Characteristics of Lower Limb EMG Signals Among Different Foot Strike Patterns During Running Using the EEMD Algorithm.Life (Basel, Switzerland) · 2025Article
22 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Muscle fatigue is an established area of research and various types of muscle fatigue have been investigated in order to fully understand the condition. This paper gives an overview of the various non-invasive techniques available for use in automated fatigue detection, such as mechanomyography, electromyography, near-infrared spectroscopy and ultrasound for both isometric and non-isometric contractions. Various signal analysis methods are compared by illustrating their applicability in real-time settings. This paper will be of interest to researchers who wish to select the most appropriate methodology for research on muscle fatigue detection or prediction, or for the development of devices that can be used in, e.g., sports scenarios to improve performance or prevent injury. To date, research on localised muscle fatigue focuses mainly on the clinical side. There is very little research carried out on the implementation of detecting/predicting fatigue using an autonomous system, although recent research on automating the process of localised muscle fatigue detection/prediction shows promising results.
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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.