ArticleSensors (Basel, Switzerland)2022
Heart Rate Variability-Based Subjective Physical Fatigue Assessment.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- To assure aviation safety: the pilot fatigue detection based on short-term multimodal physiological signals.Frontiers in human neuroscience · 2026Article
- Review
- Data Reduction Methodology for Dynamic Characteristic Extraction in Photoplethysmogram.Sensors (Basel, Switzerland) · 2025Article
- Impaired oxygen consumption kinetics and autonomic dysfunction contribute to increased fatigue in obese young males during sustained exercise.Journal of exercise rehabilitation · 2025Article
- A Multimodal Fatigue Detection System Using sEMG and IMU Signals with a Hybrid CNN-LSTM-Attention Model.Sensors (Basel, Switzerland) · 2025Article
- Translation and Validation of the Portuguese Version of the Rating-of-Fatigue Scale.Sports medicine - open · 2025Article
- Identification of Athleticism and Sports Profiles Throughout Machine Learning Applied to Heart Rate Variability.Sports (Basel, Switzerland) · 2025Article
- Mapping HRV in sports science: from monitoring to machine learning.Frontiers in sports and active living · 2025Review
- Assessment of flight fatigue using heart rate variability and machine learning approaches.Frontiers in neuroscience · 2025Article
- The Dynamics of Heart Rate Asymmetry and Situational Sleepiness from Evening to Night: The Role of Daytime Sleepiness.Biology · 2024Article
- Ability of Heart Rate Recovery and Gait Kinetics in a Single Wearable to Predict Frailty: Quasiexperimental Pilot Study.JMIR formative research · 2024Article
- Classification of exercise fatigue levels by multi-class SVM from ECG and HRV.Medical & biological engineering & computing · 2024Article
- Article
- A dataset for fatigue estimation during shoulder internal and external rotation movements using wearables.Scientific data · 2024Article
- The effect of transcranial electrical stimulation on the relief of mental fatigue.Frontiers in neuroscience · 2024Article
- Influence of an inspiratory muscle fatigue protocol on healthy youths on respiratory muscle strength and heart rate variability. A randomized controlled trial.Frontiers in physiology · 2024Article
- 24-h continuous non-invasive multiparameter home monitoring of vitals in patients with Rett syndrome by an innovative wearable technology: evidence of an overlooked chronic fatigue status.Frontiers in neurology · 2024Article
- Acute Effects of Fatigue on Cardiac Autonomic Nervous Activity.Journal of sports science & medicine · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Accurate assessment of physical fatigue is crucial to preventing physical injury caused by excessive exercise, overtraining during daily exercise and professional sports training. However, as a subjective feeling of an individual, physical fatigue is difficult for others to objectively evaluate. Heart rate variability (HRV), which is derived from electrocardiograms (ECG) and controlled by the autonomic nervous system, has been demonstrated to be a promising indicator for physical fatigue estimation. In this paper, we propose a novel method for the automatic and objective classification of physical fatigue based on HRV. First, a total of 24 HRV features were calculated. Then, a feature selection method was proposed to remove useless features that have a low correlation with physical fatigue and redundant features that have a high correlation with the selected features. After feature selection, the best 11 features were selected and were finally used for physical fatigue classifying. Four machine learning algorithms were trained to classify fatigue using the selected features. The experimental results indicate that the model trained using the selected 11 features could classify physical fatigue with high accuracy. More importantly, these selected features could provide important information regarding the identification of physical fatigue.
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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.