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Relevant bibliographies by topics / Muscle fatigue monitoring

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Journal articles
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Academic literature on the topic 'Muscle fatigue monitoring'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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Journal articles on the topic "Muscle fatigue monitoring"

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Yoon, Woojin, and Gwanseob Shin. "Monitoring muscle fatigue following continuous load changes." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (2020): 955–59. http://dx.doi.org/10.1177/1071181320641228.

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Human-Robot collaboration (HRC) have been actively applied in industry in a form of interactacting with workers by detecting their muscle fatigue. During repetitive movements such as dynamic muscle contractions, the information of decrement of electromyography (EMG) center frequency can suggest muscle fatigue occurred. However, the method was not evaluated both for development and recovery of muscle fatigue during such dynamic situations. If the decrement can be detected during the work without interruptions, the method can be highly useful in the industry. This study aims to confirm validity

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Airaksinen, Olavi, Pekka Rantanen, Teuvo Sihvonen, Kaisa Airaksinen, Osmo HÃ¤nninen, and Arto Herno. "MONITORING OF MUSCLE FATIGUE DURING ISOKINETIC EXERCISE." Acupuncture & Electro-Therapeutics Research 26, no. 4 (2001): 253–61. http://dx.doi.org/10.3727/036012901816355910.

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RANNOU, FABRICE, LARS NYBO, JANNI ENGHAVE ANDERSEN, and NIKOLAI B. NORDSBORG. "Monitoring Muscle Fatigue Progression during Dynamic Exercise." Medicine & Science in Sports & Exercise 51, no. 7 (2019): 1498–505. http://dx.doi.org/10.1249/mss.0000000000001921.

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Castaldo, R., E. Quarto, and F. Clemente. "A real-time FFT analyser for monitoring muscle fatigue." Journal of Biomedical Engineering 13, no. 6 (1991): 465–68. http://dx.doi.org/10.1016/0141-5425(91)90091-k.

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Theofilidis, George, Gregory Bogdanis, Yiannis Koutedakis, and Christina Karatzaferi. "Monitoring Exercise-Induced Muscle Fatigue and Adaptations: Making Sense of Popular or Emerging Indices and Biomarkers." Sports 6, no. 4 (2018): 153. http://dx.doi.org/10.3390/sports6040153.

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Regular exercise with the appropriate intensity and duration may improve an athlete’s physical capacities by targeting different performance determinants across the endurance–strength spectrum aiming to delay fatigue. The mechanisms of muscle fatigue depend on exercise intensity and duration and may range from substrate depletion to acidosis and product inhibition of adenosinetriphosphatase (ATPase) and glycolysis. Fatigue mechanisms have been studied in isolated muscles; single muscle fibers (intact or skinned) or at the level of filamentous or isolated motor proteins; with each approach cont

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Contessa, Paola, John Letizi, Gianluca De Luca, and Joshua C. Kline. "Contribution from motor unit firing adaptations and muscle coactivation during fatigue." Journal of Neurophysiology 119, no. 6 (2018): 2186–93. http://dx.doi.org/10.1152/jn.00766.2017.

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The control of motor unit firing behavior during fatigue is still debated in the literature. Most studies agree that the central nervous system increases the excitation to the motoneuron pool to compensate for decreased force contributions of individual motor units and sustain muscle force output during fatigue. However, some studies claim that motor units may decrease their firing rates despite increased excitation, contradicting the direct relationship between firing rates and excitation that governs the voluntary control of motor units. To investigate whether the control of motor units in f

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Twist, Craig, and Jamie Highton. "Monitoring Fatigue and Recovery in Rugby League Players." International Journal of Sports Physiology and Performance 8, no. 5 (2013): 467–74. http://dx.doi.org/10.1123/ijspp.8.5.467.

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Rugby league is a contact team sport performed at an average intensity similar to that of other team sports (~70–80% VO2max), made up of unsystematic movements of varying type, duration, and frequency. The high number of collisions, repeated eccentric muscle contractions associated with accelerating and decelerating, and prolonged aerobic nature of rugby league matches result in the development of fatigue in the days after exercise. Monitoring the presence and magnitude of this fatigue to maximize performance and training adaptation is an important consideration for applied sports scientists.

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Naeem, Jannatul, Nur Azah Hamzaid, Amelia Wong Azman, and Manfred Bijak. "Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study." Biomedical Engineering / Biomedizinische Technik 65, no. 4 (2020): 461–68. http://dx.doi.org/10.1515/bmt-2019-0191.

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AbstractFunctional electrical stimulation (FES) has been used to produce force-related activities on the paralyzed muscle among spinal cord injury (SCI) individuals. Early muscle fatigue is an issue in all FES applications. If not properly monitored, overstimulation can occur, which can lead to muscle damage. A real-time mechanomyography (MMG)-based FES system was implemented on the quadriceps muscles of three individuals with SCI to generate an isometric force on both legs. Three threshold drop levels of MMG-root mean square (MMG-RMS) feature (thr50, thr60, and thr70; representing 50%, 60%, a

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Thorpe, Robin T., Anthony J. Strudwick, Martin Buchheit, Greg Atkinson, Barry Drust, and Warren Gregson. "Monitoring Fatigue During the In-Season Competitive Phase in Elite Soccer Players." International Journal of Sports Physiology and Performance 10, no. 8 (2015): 958–64. http://dx.doi.org/10.1123/ijspp.2015-0004.

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Purpose:To quantify the relationship between daily training load and a range of potential measures of fatigue in elite soccer players during an in-season competitive phase (17 d).Methods:Total high-intensity-running (THIR) distance, perceived ratings of wellness (fatigue, muscle soreness, sleep quality), countermovement-jump height (CMJ), postexercise heart-rate recovery (HRR), and heart-rate variability (Ln rMSSD) were analyzed during an in-season competitive period (17 d). General linear models were used to evaluate the influence of daily fluctuation in THIR distance on potential fatigue var

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Koutsos, Ermis, Vlad Cretu, and Pantelis Georgiou. "A Muscle Fibre Conduction Velocity Tracking ASIC for Local Fatigue Monitoring." IEEE Transactions on Biomedical Circuits and Systems 10, no. 6 (2016): 1119–28. http://dx.doi.org/10.1109/tbcas.2016.2520563.

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Dissertations / Theses on the topic "Muscle fatigue monitoring"

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Whitlock, T. L. "Muscle physiology instrumentation." Thesis, University of Bath, 1990. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.236467.

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Koutsos, Ermis. "Real time sEMG based muscle fatigue monitoring using low power integrated circuits." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/57110.

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Electromyogram (EMG), the recording of the electrical impulses of the muscles, is a rich source of information, which can facilitate such an insight into our muscles and especially their activation and fatigue level. Muscle fatigue has been shown to be one of the most important biofeedback parameters of EMG in rehabilitation, ergonomics and training, by using measured results from the body to change the way we behave, improve our performance and achieve better compliance to rehabilitation. This thesis addresses the challenge of reliably and efficiently estimating a muscle’s fatigue state thoug

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Paula, Simola Rauno Álvaro de Verfasser], Alexander [Gutachter] [Ferrauti, and Daniel [Gutachter] Hahn. "Assessment of muscle contractile properties for monitoring fatigue and recovery in training and exercise / Rauno Álvaro de Paula Simola ; Gutachter: Alexander Ferrauti, Daniel Hahn." Bochum : Ruhr-Universität Bochum, 2017. http://d-nb.info/1129451895/34.

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Paula, Simola Rauno Álvaro de [Verfasser], Alexander [Gutachter] Ferrauti, and Daniel [Gutachter] Hahn. "Assessment of muscle contractile properties for monitoring fatigue and recovery in training and exercise / Rauno Álvaro de Paula Simola ; Gutachter: Alexander Ferrauti, Daniel Hahn." Bochum : Ruhr-Universität Bochum, 2017. http://d-nb.info/1129451895/34.

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楊慰榆. "Monitoring System For Diaphragmatic Muscle Fatigue." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/43265547334631769595.

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碩士<br>國立成功大學<br>醫學工程研究所<br>80<br>Diaphragm plays an important role in the respiration. The fatigue of diaphragmatic muscle may result in respiratory failure. This thesis presents a computerized monitoring system for studying the fatigue of the diaphragmatic muscle. 　　In this thesis, the diaphragmatic electromyograms(diEMG) were used for studying the fatigue phenomenon in frequency domain. The diEMG signal was recorded with bipolar surface electrode on the ventral portion of the sixth and seventh intercostal space for four normal subjects breathing at functional residual capacity (FRC) again

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Ku, Chia Hao, and 顧家豪. "Real-time Fatigue Monitoring System for Lower Extremity Muscle in Cycling." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/52319621253262183663.

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碩士<br>長庚大學<br>電子工程學系<br>101<br>The purpose of this study is to develop a fatigue cycling training based system to accurately detect the fatigue of subjects in cycling moment. The system was implemented by LabVIEW, and used heart rate (HR), electrical activity (EA) and median frequency (MF) as indices to evaluate whether subjects are fatigued. To validate the performance of this system, 22 young subjects were trained by the cycling system with fixed load and were asked to maintain 60 revolutions per minute. When the Borg Rating of Perceived Exertion Scale (RPE) value of a subject reaches 20 or

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HSU, LI-TE, and 許立德. "A Wearable Device for Monitoring Muscle Fatigue in Real Time during Exercise." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/mz6bhs.

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碩士<br>朝陽科技大學<br>資訊工程系<br>107<br>In recent years, with the popularization of wearable devices, the device has been widely used in the field of health care or for monitoring the physical condition during exercise, like as the sport band and watch. There are three issues that must be overcome when developing wearable devices. First problem is the power consumption, the second problem is the time of digital signal processing, and the third problem is the static random access memory (SRAM) space allocation on the microcontroller unit (MCU). In this study, the goal is to develop an electromyography

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Book chapters on the topic "Muscle fatigue monitoring"

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Liu, Xiangyu, and Meiyu Zhou. "Muscle Fatigue Monitoring: Using HD-sEMG Techniques." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44267-5_83.

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Sweety Siwach, Anita Gehlot, and Anshuman Prakash. "Design of Wearable Device for Muscle Fatigue Monitoring." In Proceeding of International Conference on Intelligent Communication, Control and Devices. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1708-7_114.

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Georgiou, Pantelis, and Ermis Koutsos. "Microelectronics for Muscle Fatigue Monitoring Through Surface EMG." In CMOS Circuits for Biological Sensing and Processing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67723-1_6.

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Vescio, G., J. Rosell, L. Nescolarde, and G. Giovinazzo. "Muscle Fatigue Monitoring Using a Multifrequency Bioimpedance Technique." In IFMBE Proceedings. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23508-5_325.

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Ferguson, Robert J., and Karen Lee Gillock. "Visit 2." In Memory and Attention Adaptation Training. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780197521571.003.0003.

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In Visit 2, the clinician sets the frame for homework by following up on assignments from Visit 1 without being punitive about tasks that were not done. Rather, the clinician reinforces progress/successes and brainstorms corrective actions. A review of self-monitoring worksheets should assist in identifying themes in memory and attention failures (e.g., verbal-auditory, visual-attention, recall of written or auditory information, ability to follow instruction) while acknowledging the role of environmental factors and inner physical and emotional states (e.g., anxiety, frustration, fatigue, hunger, pain). A review of progressive muscle relaxation sets the stage for learning quick relaxation. The important internal strategy of self-instructional training is introduced.

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Ferguson, Robert J., and Karen Lee Gillock. "Visit 1." In Memory and Attention Adaptation Training. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780197521526.003.0001.

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During Visit 1, Clinicians and survivors review the introduction and overview of MAAT and the eight-session training schedule. The education component covers cancer background, significance, and causes topics as well as helping survivors recognize that not all memory/attention failures are cancer/treatment related (re-attribution). MAAT highlights the important rationale that, while we can’t know at the causes of cancer-related memory problems, we do know that factors such as stress, fatigue, and the divided attention of busy, daily life also contribute to memory problems—and we can change environment, stress response, and manage fatigue through the use of compensatory strategies aimed a minimizing the effects of memory failures. Self-awareness is introduced, and self-monitoring forms are explained and assigned for homework in order to identify the environmental, affective, and cognitive antecedents of memory failures in daily life. Survivors are guided through a Progressive Muscle Relaxation procedure and instructed for home practice with a provided recording.

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Ferguson, Robert J., and Karen Lee Gillock. "Visit 1." In Memory and Attention Adaptation Training. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780197521571.003.0002.

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During Visit 1, clinicians provide survivors with an introduction and overview of MAAT and review the eight-session training schedule. The education component covers cancer background, significance, and causes as well as helping survivors recognize that not all memory/attention failures are related to cancer or cancer treatment (reattribution). MAAT highlights the important rationale that while we can’t know all the causes of cancer-related memory problems, we do know that factors such as stress, fatigue, and the divided attention of busy, daily life also contribute to memory problems, and we can change environment and stress response and manage fatigue by using compensatory strategies aimed at minimizing the effects of memory failures. Self-awareness is introduced, and self-monitoring forms are explained and assigned for homework in order to identify the environmental, affective, and cognitive antecedents of memory failures in daily life. Survivors are instructed in progressive muscle relaxation, home practice and application in daily activity.

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Danjuma, Kwetishe Joro, Solomon Sunday Oyelere, Elisha Sunday Oyelere, and Teemu H. Laine. "Mobile Application for Ebola Virus Disease Diagnosis (EbolaDiag)." In Censorship, Surveillance, and Privacy. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7113-1.ch023.

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This chapter describes how the Ebola virus is considered extremely infectious with a series of physical and psychological traumas on the victims. Common clinical signs associated with the disease include a sudden fever, severe headaches, muscle pain, fatigue, diarrhea, vomiting, and unexplained hemorrhages. In Africa, with strained medical facilities and remote localities, prompt identification and diagnosis of the symptoms of Ebola in a suspected patient are important to the control of the epidemic and in curtailing further spread. This chapter presents the development of an Android mobile application called EbolaDiag (Ebola Diagnosis), which is capable of supporting the diagnosis, screening, and healthcare experts working on the frontline in contact tracing and monitoring of the spread of Ebola. Furthermore, EbolaDiag is suitable for aiding the strained medical facilities in endemic areas. In addressing this gap, the application provided a model for implementing such solutions in pandemic environments. Such a solution becomes more relevant and useful to combat Ebola and several other diseases in similar environments.

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Danjuma, Kwetishe Joro, Solomon Sunday Oyelere, Elisha Sunday Oyelere, and Teemu H. Laine. "Mobile Application for Ebola Virus Disease Diagnosis (EbolaDiag)." In Mobile Technologies and Socio-Economic Development in Emerging Nations. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-4029-8.ch004.

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This chapter describes how the Ebola virus is considered extremely infectious with a series of physical and psychological traumas on the victims. Common clinical signs associated with the disease include a sudden fever, severe headaches, muscle pain, fatigue, diarrhea, vomiting, and unexplained hemorrhages. In Africa, with strained medical facilities and remote localities, prompt identification and diagnosis of the symptoms of Ebola in a suspected patient are important to the control of the epidemic and in curtailing further spread. This chapter presents the development of an Android mobile application called EbolaDiag (Ebola Diagnosis), which is capable of supporting the diagnosis, screening, and healthcare experts working on the frontline in contact tracing and monitoring of the spread of Ebola. Furthermore, EbolaDiag is suitable for aiding the strained medical facilities in endemic areas. In addressing this gap, the application provided a model for implementing such solutions in pandemic environments. Such a solution becomes more relevant and useful to combat Ebola and several other diseases in similar environments.

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Conference papers on the topic "Muscle fatigue monitoring"

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Sun, Daiwen, Ermis Koutsos, and Pantelis Georgiou. "A neuromorphic based median frequency tracker for muscle fatigue monitoring." In 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2016. http://dx.doi.org/10.1109/biocas.2016.7833774.

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Lucev, Zeljka, Igor Krois, and Mario Cifrek. "Application of wireless intrabody communication system to muscle fatigue monitoring." In 2010 IEEE Instrumentation & Measurement Technology Conference Proceedings. IEEE, 2010. http://dx.doi.org/10.1109/imtc.2010.5488128.

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Heaffey, Jack, Ermis Koutsos, and Pantelis Georgiou. "Live demonstration: Wearable device for remote EMG and muscle fatigue monitoring." In 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2015. http://dx.doi.org/10.1109/biocas.2015.7348324.

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Mokaya, Frank, Brian Nguyen, Cynthia Kuo, Quinn Jacobson, and Pei Zhang. "[MARS] a real time motion capture and muscle fatigue monitoring tool." In the 10th ACM Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2426656.2426721.

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Kumar, Ankit, S. K. Pahuja, and Anurag Singh. "Real time monitoring of muscle fatigue and muscle disorder of biceps brachii using Surface Electromyography (sEMG)." In 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC). IEEE, 2018. http://dx.doi.org/10.1109/icsccc.2018.8703279.

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Ma'as, Moehammad Dzaky Fauzan, Masitoh, Ahmad Zahi Ulul Azmi, and Suprijanto. "Real-time muscle fatigue monitoring based on median frequency of electromyography signal." In 2017 5th International Conference on Instrumentation, Control, and Automation (ICA). IEEE, 2017. http://dx.doi.org/10.1109/ica.2017.8068428.

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Nozaki, Kanichiro, Mikie Nakabayashi, Masashi Ichinose, and Yumie Ono. "Real-time detection of fatigue effect on active muscle hemodynamics using diffuse correlation spectroscopy." In Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables, edited by Babak Shadgan and Amir H. Gandjbakhche. SPIE, 2020. http://dx.doi.org/10.1117/12.2542876.

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Lin, Minglai, Nan Li, and Fan Li. "Design of muscle fatigue monitoring system based on multi-channel bioelectrical impedance measurement." In 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE). IEEE, 2019. http://dx.doi.org/10.1109/eitce47263.2019.9094800.

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Dayan, O., I. Spulber, A. Eftekhar, P. Georgiou, J. Bergmann, and A. McGregor. "Applying EMG spike and peak counting for a real-time muscle fatigue monitoring system." In 2012 IEEE Biomedical Circuits and Systems Conference (BioCAS 2012). IEEE, 2012. http://dx.doi.org/10.1109/biocas.2012.6418474.

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Teixeira Paiva, Bryan, Julio Domingues Saraçol Júnior, Érico Marcelo Hoff do Amaral, and Jone Follmann. "MFID: uma Solução Computacional para a Identificação da Fadiga Muscular Durante a Reabilitação Física de Indivíduos Amputados." In Computer on the Beach. Universidade do Vale do Itajaí, 2020. http://dx.doi.org/10.14210/cotb.v11n1.p337-344.

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It’s know that computing is becoming increasingly integrated intoother knowledge areas, providing practical and innovative solutionsto many types of problems, including to health care area. Inthis sense, the amputatee patients physical rehabilitation processalso shows as an important area for tools development that assistthe professional physiotherapist, since this rehabilitation processis long-lasting and exhaustive for patients. Thus, the present workdescribes the development of a solution called Muscle Fatigue Identifier(MFID) to improve the amputee physical rehabilitation process,by detect

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