Article
Geriatrics & Gerontology
Paulo Cezar Rocha dos Santos, Claudine J. C. Lamoth, Lilian Teresa Bucken Gobbi, Inge Zijdewind, Fabio Augusto Barbieri, Tibor Hortobagyi
Summary: The study compared muscle activation patterns of older and younger adults during repetitive sit-to-stand tasks, finding that older adults activated certain muscles more, earlier, and for longer duration. Despite completing fewer STS trials, older adults reported similar perceived exertion levels as younger adults. Maximum voluntary isometric knee extension force decreased at the end of the task, with similar declines in muscle activation levels across different age groups.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Physiology
Giuseppe Marcolin, Marta Cogliati, Alessandro Cudicio, Francesco Negro, Riccardo Tonin, Claudio Orizio, Antonio Paoli
Summary: Neuromuscular fatigue can impact dynamic postural regulation and muscle activation strategies. A localized fatigue protocol on calf muscle did not affect global dynamic balance, but led to changes in frequency content of angular displacement and activation ratios across muscles.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Chemistry, Analytical
David Perpetuini, Damiano Formenti, Daniela Cardone, Athos Trecroci, Alessio Rossi, Andrea Di Credico, Giampiero Merati, Giampietro Alberti, Angela Di Baldassarre, Arcangelo Merla
Summary: This study describes a non-invasive contactless method using infrared thermal imaging (IRI) and cross-validated machine learning (ML) to estimate parameters indicative of muscle activity and fatigue. Results suggest a potential link between skin temperature and muscle activity and fatigue, supporting the use of contactless methods to provide metrics of muscular activity in a non-invasive and comfortable manner in sports and clinical applications.
Article
Biology
Shoukun Chen, Kaili Xu, Xiwen Yao, Siyi Zhu, Bohan Zhang, Haodong Zhou, Xin Guo, Bingfeng Zhao
Summary: This study conducted field tests on miners in high-altitude and cold areas to measure fatigue-related psychophysiological parameters, and utilized support vector machine and random forest techniques for fatigue identification with feature signal fusion. The results show that ECG-FD and EMG are the best indicators of fatigue, and the optimal three-factor combination classification has the best performance and robustness. Support vector machine learning effectively identifies miner fatigue based on fatigue-related factor combinations.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Engineering, Industrial
Saahil Chand, Andrew McDaid, Yuqian Lu
Summary: Human-robot collaboration is crucial for flexible manufacturing operations, ensuring optimal team performance by maximizing operator autonomy and well-being. However, current fatigue assessment models fail to accurately evaluate fatigue in repetitive dynamic manufacturing operations non-invasively. To address this issue, we developed a theory for quantifying localized muscular fatigue based on relative task load and the number of repetitive operations. We demonstrated a multivariable linear relationship between localized muscular fatigue, task load, base muscle strength, and number of repetitive operations using s-EMG technologies. We also presented procedures for developing personalized muscle fatigue profiles for various assembly operations through specialized s-EMG experiment design and measurement. This simple fatigue measurement mechanism allows continuous monitoring of operator fatigue by monitoring repetitive operations using non-invasive sensors, such as cameras. Additionally, we propose a framework for integrating our work into an online fatigue monitoring system for human-robot collaboration.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Shuaijian Yang, Jinhao Cheng, Jin Shang, Chen Hang, Jie Qi, Leni Zhong, Qingyan Rao, Lei He, Chenqi Liu, Li Ding, Mingming Zhang, Samit Chakrabarty, Xingyu Jiang
Summary: This article introduces an adhesive dry electrode made using tannic acid, polyvinyl alcohol, and PEDOT:PSS (TPP), which offers superior stretchability and adhesiveness for long-term contact with the skin and recording. A metal-polymer electrode array patch (MEAP) comprising liquid metal (LM) circuits and TPP electrodes is also developed, showing better conformability and signal-to-noise ratio for real-time monitoring of muscle stress and fatigue.
NATURE COMMUNICATIONS
(2023)
Article
Nutrition & Dietetics
Avery Hinks, Adam Hess, Mathew I. B. Debenham, Jackey Chen, Nicole Mazara, Keaton A. Inkol, Daniel T. Cervone, Lawrence L. Spriet, Brian H. Dalton, Geoffrey A. Power
Summary: The repeated bout effect is crucial for protecting peak isotonic power, reducing muscle damage and weakness caused by eccentric exercise, and has an impact on neuromuscular performance.
APPLIED PHYSIOLOGY NUTRITION AND METABOLISM
(2021)
Article
Chemistry, Analytical
Johan Merbah, Bertrand R. Care, Philippe Gorce, Francois Gadea, Francois Prince
Summary: In this study, a novel ergonomic and visualization approach was proposed to assess muscular fatigue during surgical procedures. Wearable sensors were used to evaluate the activity of eight muscles, and the time and frequency-domain variables of electromyographic signals were calculated. Most of the muscles showed activity above 60%, while the middle trapezius muscles were almost constantly activated (>20%) throughout the surgical procedure. Micro-breaks throughout surgical procedures are suggested to avoid fatigue and prevent the risk of developing musculoskeletal disorders.
Article
Engineering, Industrial
F. Jung, T. Dorszewski, R. Seibt, J. D. Glenday, D. F. B. Haeufle, B. Steinhilber
Summary: This study aimed to investigate the influence of wrist position and torque level on lower arm flexor muscle fatigue. The results showed that higher torque levels induced more evident signs of fatigue in wrist flexor muscles, and a 40 degrees wrist flexion triggered fatigue, while 40 degrees wrist extension did not. These findings are of relevance to individuals engaging in work-related wrist flexor effort, as they may be at an increased risk of developing musculoskeletal disorders. However, the results did not support the assumption from prevailing ergonomic risk assessments that greater wrist angles would increase the risk.
INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS
(2023)
Article
Engineering, Industrial
Cheng-Lung Lee, Shih-Yi Lu, Chang-You Wu
Summary: This study examined the effects of rest period and object load on upper limb muscle strength recovery. The findings suggest that a rest period of 4.5 minutes may be the most efficient for muscle strength recovery. This research provides important data for early intervention strategies to prevent muscle fatigue.
INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS
(2022)
Article
Multidisciplinary Sciences
Etienne Goubault, Felipe Verdugo, Justine Pelletier, Caroline Traube, Mickael Begon, Fabien Dal Maso
Summary: Muscle fatigue may have an impact on pianists' musical performance, depending on the characteristics of the piece being played. The study found that repetitive piano practice resulted in myoelectric fatigue, affecting muscle movement, and had varying effects on piano performance parameters.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Electrical & Electronic
Maged S. Al-Quraishi, Irraivan Elamvazuthi, Tong Boon Tang, Muhammad Al-Qurishi, S. Parasuraman, Alberto Borboni
Summary: The study developed a fusion technique combining cortical and muscular activities to recognize bilateral lower limb movements. The multimodal approach showed significant improvement in movement recognition accuracy compared to single modality methods, particularly when using the linear discriminant analysis (LDA) classifier.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Interdisciplinary Applications
Shoukun Chen, Kaili Xu, Xiwen Yao, Ji Ge, Li Li, Siyi Zhu, Zhengrong Li
Summary: This study demonstrates that using machine learning models such as SVM, RF, and XG-Boost can effectively identify fatigue in miners working under extreme conditions. The PCA fusion technique outperforms the GRA method in improving identification accuracy, with XG-Boost classification yielding the best accuracy and robustness.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Article
Nutrition & Dietetics
Wataru Sato, Sakiko Yoshikawa, Tohru Fushiki
Summary: The study found that facial EMG signals in response to food images reflect subjective hedonic experiences, but not objective nutritional values associated with the food item.
Article
Nutrition & Dietetics
Akie Saito, Wataru Sato, Akira Ikegami, Sayaka Ishihara, Makoto Nakauma, Takahiro Funami, Tohru Fushiki, Sakiko Yoshikawa
Summary: The study found commonalities and differences in subjective-physiological emotional coherence during food intake between older and younger adults, with corrugator EMG activity negatively correlated with arousal ratings in the older group.