ArticleSensors (Basel, Switzerland)2021
A Muscle Fatigue Classification Model Based on LSTM and Improved Wavelet Packet Threshold.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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The trial behind it
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Who cites it
21 citing papers in PubMed.
- Effects of Menthol Mouth Rinsing on Performance and Surface EMG Activity During Heat-Stressed Cycling.Nutrients · 2026Trial
- Real-Time Physiological Fatigue Prediction for Human-Robot Collaborative Manufacturing Using Wearable Sensor Fusion and Hybrid Deep Learning: An In Silico Digital Twin Study.Sensors (Basel, Switzerland) · 2026Article
- NewRep: a classification model for online pattern recognition based on HD-EMG signals.Medical & biological engineering & computing · 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
- Including Eye Movement in the Assessment of Physical Fatigue Under Different Loading Types and Road Slopes.Journal of eye movement research · 2026Article
- Recognizing the feature of knee hyperextension in stroke patients based on transformer-long-short-term memory model.Biomedical engineering online · 2026Article
- Evaluation of a long short-term memory (LSTM)-based algorithm for predicting central frequency and synergy activation ratio using markerless motion analysis data.Biomedical engineering letters · 2025Article
- Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection.Sensors (Basel, Switzerland) · 2025Article
- Characterization of Muscle Fatigue Degree in Cyclical Movements Based on the High-Frequency Components of sEMG.Biomimetics (Basel, Switzerland) · 2025Article
- Enhanced DWT for Denoising Heartbeat Signal in Non-Invasive Detection.Sensors (Basel, Switzerland) · 2025Article
- Detecting muscle fatigue during lower limb isometric contractions tasks: a machine learning approach.Frontiers in physiology · 2025Article
- Latent Space Representation of Human Movement: Assessing the Effects of Fatigue.Sensors (Basel, Switzerland) · 2024Article
- Lower Limb Motion Recognition Based on sEMG and CNN-TL Fusion Model.Sensors (Basel, Switzerland) · 2024Article
- Research on the recognition model of exercise fatigue based on the fusion of sEMG and ECG signals.iScience · 2024Article
- Recognition of Human Lower Limb Motion and Muscle Fatigue Status Using a Wearable FES-sEMG System.Sensors (Basel, Switzerland) · 2024Article
- Wearable Electromyography Classification of Epileptic Seizures: A Feasibility Study.Bioengineering (Basel, Switzerland) · 2023Article
- Effect of vitamin energy drinks on relieving exercise-induced fatigue in muscle group by ultrasonic bioimaging data analysis.PloS one · 2023Article
- Machine Learning for Detection of Muscular Activity from Surface EMG Signals.Sensors (Basel, Switzerland) · 2022Article
- Application of Surface Electromyography in Exercise Fatigue: A Review.Frontiers in systems neuroscience · 2022Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Previous studies have used the anaerobic threshold (AT) to non-invasively predict muscle fatigue. This study proposes a novel method for the automatic classification of muscle fatigue based on surface electromyography (sEMG). The sEMG data were acquired from 20 participants during an incremental test on a cycle ergometer using sEMG sensors placed on the vastus rectus femoris (RF), vastus lateralis (VL), vastus medialis (VM), and gastrocnemius (GA) muscles of the left leg. The ventilation volume (VE), oxygen uptake (VO
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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.