Assessment of Muscles Fatigue Based on Surface EMG Signals Using Machine Learning and Statistical Approaches: A Review
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Ahmad Faizal Salleh | Norasmadi Abdul Rahim | S. M. Mamduh | Ammar Zakaria | Latifah Munirah Kamarudin | Moaid K. Hussain | Khudhur A. Alfarhan | Norasmadi Abdul Rahim | Hayder A. Yousif | Ammar Zakaria | Mustafa Mahmood | Ali Majid Hasan | Mustafa Mahmood | Ali Majid Hasan
[1] O Airaksinen,et al. Knee extensor fatigability and strength after bicycle ergometer training. , 1994, Archives of physical medicine and rehabilitation.
[2] S. Ramakrishnan,et al. Extraction and analysis of multiple time window features associated with muscle fatigue conditions using sEMG signals , 2014, Expert Syst. Appl..
[3] Jerzy Sadowski,et al. The influence of the run intensity on bioelectrical activity of selected human leg muscles. , 2012, Acta of bioengineering and biomechanics.
[4] Mohamed Sarillee,et al. Non-invasive techniques to assess muscle fatigue using biosensors: A review , 2014, 2014 IEEE 5th Control and System Graduate Research Colloquium.
[5] Electromyographic (EMG) Analysis of Quadriceps Muscle Fatigue in Children With Cerebral Palsy During a Sustained Isometric Contraction , 2010, Journal of child neurology.
[6] K. Sundaraj,et al. Non-invasive electromyography-based fatigue detection and performance analysis on m. biceps brachii muscle , 2012, 2012 IEEE International Conference on Control System, Computing and Engineering.
[7] Mauro Gonçalves,et al. Utility of electromyographic fatigue threshold during treadmill running , 2015, Muscle & nerve.
[8] Mamun Bin Ibne Reaz,et al. Surface Electromyography Signal Processing and Classification Techniques , 2013, Sensors.
[9] Asnida Abd Wahab,et al. Evaluation of muscle fatigue using infrared thermal imaging technique with assisted electromyography , 2017 .
[10] Kiran Marri,et al. Analysis of fatigue conditions in triceps brachii muscle using sEMG signals and spectral correlation density function , 2014, 2014 International Conference on Informatics, Electronics & Vision (ICIEV).
[11] Catherine Disselhorst-Klug,et al. Myoelectric manifestations of fatigue at low contraction levels in subjects with and without chronic pain. , 2007, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.
[12] Huosheng Hu,et al. Support Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb , 2008, IEEE Transactions on Biomedical Engineering.
[13] Mikhail Kuznetsov,et al. Filtering the surface EMG signal: Movement artifact and baseline noise contamination. , 2010, Journal of biomechanics.
[14] Gregory C. Bogdanis,et al. Effects of Physical Activity and Inactivity on Muscle Fatigue , 2012, Front. Physio..
[15] D. Roman-Liu,et al. Quantitative assessment of upper limb muscle fatigue depending on the conditions of repetitive task load. , 2004, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.
[16] A Malanda,et al. EMG spectral indices and muscle power fatigue during dynamic contractions. , 2010, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.
[17] Xinjun Sheng,et al. Assessment of muscle fatigue by simultaneous sEMG and NIRS: From the perspective of electrophysiology and hemodynamics , 2017, 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER).
[18] M. B. I. Reaz,et al. Determination of muscle fatigue in SEMG signal using empirical mode decomposition , 2014, 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES).
[19] Bing Yu,et al. Hamstring muscle kinematics and activation during overground sprinting. , 2008, Journal of biomechanics.
[20] Shimpei Matsumoto,et al. Development of automatic positioning system for bicycle saddle based on lower limb's EMG signals during pedaling motion , 2013, 2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA).
[21] Yaoxue Zhang,et al. Non-invasive detection of low-level muscle fatigue using surface EMG with wavelet decomposition , 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[22] J A Nyland,et al. Relationship of fatigued run and rapid stop to ground reaction forces, lower extremity kinematics, and muscle activation. , 1994, The Journal of orthopaedic and sports physical therapy.
[23] Francisco Sepulveda,et al. A Review of Non-Invasive Techniques to Detect and Predict Localised Muscle Fatigue , 2011, Sensors.
[24] J H van Dieën,et al. Fatigue-related changes in the coordination of lifting and their effect on low back load. , 1996, Journal of motor behavior.
[25] Jun Shi,et al. Feasibility of controlling prosthetic hand using sonomyography signal in real time: preliminary study. , 2010, Journal of rehabilitation research and development.
[26] M. Knaflitz,et al. Assessment of muscle fatigue during biking , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[27] Mario Cifrek,et al. Surface EMG based muscle fatigue evaluation in biomechanics. , 2009, Clinical biomechanics.
[28] Antonio Carlos de Moraes,et al. Influence of Different Strategies of Treatment Muscle Contraction and Relaxation Phases on EMG Signal Processing and Analysis During Cyclic Exercise , 2012 .
[29] J R Steele,et al. Does fatigue induced by repeated dynamic efforts affect hamstring muscle function? , 2000, Medicine and science in sports and exercise.
[30] Jun Yu,et al. Time-frequency analysis of myoelectric signals during dynamic contractions: a comparative study , 2000, IEEE Transactions on Biomedical Engineering.
[31] N E Fowler,et al. Multi-segment coordination: fatigue effects. , 2001, Medicine and science in sports and exercise.
[32] A. R. Lind,et al. Evaluation of amplitude and frequency components of the surface EMG as an index of muscle fatigue. , 1982, Ergonomics.
[33] Venkatesh Balasubramanian,et al. Analysis of muscle fatigue in helicopter pilots. , 2011, Applied ergonomics.
[34] Kenichi Ito,et al. EMG-based detection of muscle fatigue during low-level isometric contraction by recurrence quantification analysis and monopolar configuration , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[35] B. Polus,et al. Strategies to identify changes in SEMG due to muscle fatigue during cycling , 2005, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
[36] Stephen R. Alty,et al. Mean frequency estimation of surface EMG signals using filterbank methods , 2011, 2011 19th European Signal Processing Conference.
[37] Yuichi Nakamura,et al. Detection of Muscle Fatigue by the Surface Electromyogram and Its Application , 2010, 2010 IEEE/ACIS 9th International Conference on Computer and Information Science.
[38] M. Knaflitz,et al. EMG assessment of back muscle function during cyclical lifting. , 1998, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.
[39] A Mastalerz,et al. P 034 - the effect of treadmill geometry on muscle fatigue. , 2018, Gait & posture.
[40] J. Senthil Kumar,et al. Human Hand Prosthesis Based On Surface EMG Signals for Lower Arm Amputees , 2013 .
[41] Kai-Ming Chan,et al. EMG Power Frequency Spectrum Shifts during Repeated Isokinetic Knee and Arm Movements , 2002, Research quarterly for exercise and sport.
[42] Henry Vandewalle,et al. Determination of muscular fatigue in elite runners , 2005, European Journal of Applied Physiology.
[43] M. Nuttin,et al. Muscular effort in multiple sclerosis patients during powered wheelchair manoeuvres. , 2004, Clinical biomechanics.
[44] B Gerdle,et al. Is the mean power frequency shift of the EMG a selective indicator of fatigue of the fast twitch motor units? , 1992, Acta physiologica Scandinavica.
[45] Stuart M. McGill,et al. Effects of physical fatigue and cognitive challenges on the potential for low back injury , 1999 .
[46] Guoliang Xiong,et al. Time-frequency representation based on time-varying autoregressive model with applications to non-stationary rotor vibration analysis , 2010 .
[47] M Knaflitz,et al. Time-frequency methods applied to muscle fatigue assessment during dynamic contractions. , 1999, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.
[48] Dario Farina,et al. An integrative model of motor unit activity during sustained submaximal contractions. , 2010, Journal of applied physiology.
[49] R. B. Ribas Manero,et al. Wearable embroidered muscle activity sensing device for the human upper leg , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).