Assessment of Muscles Fatigue Based on Surface EMG Signals Using Machine Learning and Statistical Approaches: A Review

[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).