Blind source identification from the multichannel surface electromyogram
暂无分享,去创建一个
D Farina | A Holobar | D. Farina | A. Holobar | Dario Farina
[1] Emilio Bizzi,et al. Combinations of muscle synergies in the construction of a natural motor behavior , 2003, Nature Neuroscience.
[2] Damjan Zazula,et al. Gradient Convolution Kernel Compensation Applied to Surface Electromyograms , 2007, ICA.
[3] Dario Farina,et al. EMG-based simultaneous and proportional estimation of wrist/hand kinematics in uni-lateral trans-radial amputees , 2011, Journal of NeuroEngineering and Rehabilitation.
[4] Aapo Hyvärinen,et al. Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.
[5] Francesco Lacquaniti,et al. Control of Fast-Reaching Movements by Muscle Synergy Combinations , 2006, The Journal of Neuroscience.
[6] D. Farina,et al. Estimating motor unit discharge patterns from high-density surface electromyogram , 2009, Clinical Neurophysiology.
[7] Francesco Lacquaniti,et al. Patterned control of human locomotion , 2012, The Journal of physiology.
[8] N. A. Bernshteĭn. The co-ordination and regulation of movements , 1967 .
[9] Roberto Merletti,et al. Electromyography. Physiology, engineering and non invasive applications , 2005 .
[10] William Z Rymer,et al. Robustness of muscle synergies underlying three-dimensional force generation at the hand in healthy humans. , 2012, Journal of neurophysiology.
[11] Roberto Merletti,et al. Advances in surface EMG: recent progress in detection and processing techniques. , 2010, Critical reviews in biomedical engineering.
[12] D R Abernethy,et al. Electromyographic patterns suggest changes in motor unit physiology associated with early osteoarthritis of the knee. , 2007, Osteoarthritis and cartilage.
[13] Patrik O. Hoyer,et al. Non-negative Matrix Factorization with Sparseness Constraints , 2004, J. Mach. Learn. Res..
[14] Roberto Merletti,et al. Geometry assessment of anal sphincter muscle based on monopolar multichannel surface EMG signals. , 2011, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.
[15] J Styf,et al. Simultaneous intramuscular pressure and surface electromyography measurement in diagnosing the chronic compartment syndrome , 2011, Scandinavian journal of medicine & science in sports.
[16] Marie-Françoise Lucas,et al. Optimized Wavelets for Blind Separation of Nonstationary Surface Myoelectric Signals , 2008, IEEE Transactions on Biomedical Engineering.
[17] M Léouffre,et al. Testing of instantaneity hypothesis for blind source separation of extensor indicis and extensor digiti minimi surface electromyograms. , 2013, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.
[18] D. Farina,et al. Effect of electrode shape on spectral features of surface detected motor unit action potentials. , 2001, Acta physiologica et pharmacologica Bulgarica.
[19] R N Scott,et al. Multistate myoelectric control: the feasibility of 5-state control. , 1983 .
[20] Kevin C. McGill,et al. EMGLAB: An interactive EMG decomposition program , 2005, Journal of Neuroscience Methods.
[21] N. Hogan,et al. Probability density of the surface electromyogram and its relation to amplitude detectors , 1999, IEEE Transactions on Biomedical Engineering.
[22] A Holobar,et al. Non-invasive characterization of motor unit behaviour in pathological tremor , 2012, Journal of neural engineering.
[23] Dario Farina,et al. Intuitive, Online, Simultaneous, and Proportional Myoelectric Control Over Two Degrees-of-Freedom in Upper Limb Amputees , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[24] Dario Farina,et al. Effects of robotic guidance on the coordination of locomotion , 2013, Journal of NeuroEngineering and Rehabilitation.
[25] Dario Farina,et al. Covariance and Time-Scale Methods for Blind Separation of Delayed Sources , 2011, IEEE Transactions on Biomedical Engineering.
[26] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[27] Joshua C. Kline,et al. Decomposition of surface EMG signals. , 2006, Journal of neurophysiology.
[28] J F Jabre,et al. The clinical use of macro and surface electromyography in diagnosis and follow-up of endocrine and drug-induced myopathies , 2007, Journal of endocrinological investigation.
[29] Hamid Reza Kobravi,et al. Modulation of Phasic and Tonic Muscle Synergies During Hand Movement , 2016 .
[30] C. D. De Luca,et al. Control scheme governing concurrently active human motor units during voluntary contractions , 1982, The Journal of physiology.
[31] John-Stuart Brittain,et al. The many roads to tremor , 2013, Experimental Neurology.
[32] Dario Farina,et al. Identifying representative synergy matrices for describing muscular activation patterns during multidirectional reaching in the horizontal plane. , 2010, Journal of neurophysiology.
[33] D Farina,et al. Compensation of the effect of sub-cutaneous tissue layers on surface EMG: a simulation study. , 1999, Medical engineering & physics.
[34] Dario Farina,et al. Motor modules in robot-aided walking , 2012, Journal of NeuroEngineering and Rehabilitation.
[35] E. Bizzi,et al. Linear combinations of primitives in vertebrate motor control. , 1994, Proceedings of the National Academy of Sciences of the United States of America.
[36] Dario Farina,et al. A surface EMG generation model with multilayer cylindrical description of the volume conductor , 2004, IEEE Transactions on Biomedical Engineering.
[37] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[38] Mika P. Tarvainen,et al. Non-Linear EMG Parameters for Differential and Early Diagnostics of Parkinson’s Disease , 2013, Front. Neurol..
[39] Ning Jiang,et al. Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal , 2009, IEEE Transactions on Biomedical Engineering.
[40] Terence D. Sanger,et al. Use of Surface Electromyography (EMG) in the Diagnosis of Childhood Hypertonia: A Pilot Study , 2008, Journal of child neurology.
[41] Ganesh R. Naik,et al. Identification of Hand and Finger Movements Using Multi Run ICA of Surface Electromyogram , 2012, Journal of Medical Systems.
[42] Ole Kæseler Andersen,et al. Analysis of muscle fiber conduction velocity enables reliable detection of surface EMG crosstalk during detection of nociceptive withdrawal reflexes , 2012, BMC Neuroscience.
[43] Fabian J. Theis,et al. Sparse component analysis and blind source separation of underdetermined mixtures , 2005, IEEE Transactions on Neural Networks.
[44] R. Okuno,et al. A decomposition algorithm for surface electrode-array electromyogram , 2005, IEEE Engineering in Medicine and Biology Magazine.
[45] Dick F Stegeman,et al. Motor unit action potential topography and its use in motor unit number estimation , 2005, Muscle & nerve.
[46] Salina Abdul Samad,et al. Modulation Techniques for Biomedical Implanted Devices and Their Challenges , 2011, Sensors.
[47] F. Zajac,et al. Locomotor strategy for pedaling: muscle groups and biomechanical functions. , 1999, Journal of neurophysiology.
[48] B. G. Lapatki,et al. Electrophysiological method to examine muscle fiber architecture in the upper lip in cleft-lip patients , 2014, Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie.
[49] Dario Farina,et al. Low-threshold motor unit membrane properties vary with contraction intensity during sustained activation with surface EMG visual feedback. , 2004, Journal of applied physiology.
[50] Toshio Moritani,et al. Type 2 diabetes mellitus patients manifest characteristic spatial EMG potential distribution pattern during sustained isometric contraction. , 2012, Diabetes research and clinical practice.
[51] Dario Farina,et al. Extracting Signals Robust to Electrode Number and Shift for Online Simultaneous and Proportional Myoelectric Control by Factorization Algorithms , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[52] C. D. De Luca,et al. Surface myoelectric signal cross-talk among muscles of the leg. , 1988, Electroencephalography and clinical neurophysiology.
[53] C J De Luca,et al. Synchronization of motor-unit firings in several human muscles. , 1993, Journal of neurophysiology.
[54] Francesco Lacquaniti,et al. Modular Control of Limb Movements during Human Locomotion , 2007, The Journal of Neuroscience.
[55] Simon A. Overduin,et al. Modulation of Muscle Synergy Recruitment in Primate Grasping , 2008, The Journal of Neuroscience.
[56] Lena H Ting,et al. Muscle synergy organization is robust across a variety of postural perturbations. , 2006, Journal of neurophysiology.
[57] Ping Zhou,et al. Machine Learning for Supporting Diagnosis of Amyotrophic Lateral Sclerosis Using Surface Electromyogram , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[58] Robert J Gatchel,et al. What is the Best Surface EMG Measure of Lumbar Flexion-Relaxation for Distinguishing Chronic Low Back Pain Patients From Pain-free Controls? , 2013, The Clinical journal of pain.
[59] D. Winter,et al. Models of recruitment and rate coding organization in motor-unit pools. , 1993, Journal of neurophysiology.
[60] D. Farina,et al. Experimental Analysis of Accuracy in the Identification of Motor Unit Spike Trains From High-Density Surface EMG , 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[61] L.H. Lindstrom,et al. Interpretation of myoelectric power spectra: A model and its applications , 1977, Proceedings of the IEEE.
[62] Dinesh K Pai,et al. Changes in hand muscle synergies in subjects with spinal cord injury: Characterization and functional implications , 2012, The journal of spinal cord medicine.
[63] Hideo Nakamura,et al. The application of independent component analysis to the multi-channel surface electromyographic signals for separation of motor unit action potential trains: part I-measuring techniques. , 2004, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.
[64] D. Farina,et al. Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric , 2014, Journal of neural engineering.
[65] Dario Farina,et al. Impulses of activation but not motor modules are preserved in the locomotion of subacute stroke patients. , 2011, Journal of neurophysiology.
[66] D. Stegeman,et al. Motor unit size estimation: confrontation of surface EMG with macro EMG. , 1997, Electroencephalography and clinical neurophysiology.
[67] R. Merletti,et al. Accuracy assessment of CKC high-density surface EMG decomposition in biceps femoris muscle , 2011, Journal of neural engineering.
[68] Andrzej Cichocki,et al. Adaptive blind signal and image processing , 2002 .
[69] C. D. De Luca,et al. High-yield decomposition of surface EMG signals , 2010, Clinical Neurophysiology.
[70] Dario Farina,et al. Influence of anatomical, physical, and detection-system parameters on surface EMG , 2002, Biological Cybernetics.
[71] D. Farina,et al. Linear transmission of cortical oscillations to the neural drive to muscles is mediated by common projections to populations of motoneurons in humans , 2011, The Journal of physiology.
[72] D Djuwari,et al. Limitations and applications of ICA for surface electromyogram. , 2006, Electromyography and clinical neurophysiology.
[73] Hideo Nakamura,et al. The application of independent component analysis to the multi-channel surface electromyographic signals for separation of motor unit action potential trains: part II-modelling interpretation. , 2004, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.
[74] D. Farina,et al. Fast changes in direction during human locomotion are executed by impulsive activation of motor modules , 2013, Neuroscience.
[75] Jean-Franois Cardoso. High-Order Contrasts for Independent Component Analysis , 1999, Neural Computation.
[76] Begoña Garcia-Zapirain,et al. EEG artifact removal—state-of-the-art and guidelines , 2015, Journal of neural engineering.
[77] Lena H Ting,et al. A limited set of muscle synergies for force control during a postural task. , 2005, Journal of neurophysiology.
[78] Andrea d'Avella,et al. Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experimental data sets. , 2006, Journal of neurophysiology.
[79] Damjan Zazula,et al. Multichannel Blind Source Separation Using Convolution Kernel Compensation , 2007, IEEE Transactions on Signal Processing.
[80] M. Swiontkowski. Targeted Muscle Reinnervation for Real-time Myoelectric Control of Multifunction Artificial Arms , 2010 .
[81] Dario Farina,et al. Decoding the neural drive to muscles from the surface electromyogram , 2010, Clinical Neurophysiology.
[82] Philip A. Parker,et al. Signal Processing for Proportional Myoelectric Control , 1984, IEEE Transactions on Biomedical Engineering.
[83] D. Farina,et al. Accessing the Neural Drive to Muscle and Translation to Neurorehabilitation Technologies , 2012, IEEE Reviews in Biomedical Engineering.
[84] F. Lacquaniti,et al. Five basic muscle activation patterns account for muscle activity during human locomotion , 2004, The Journal of physiology.
[85] Toshio Moritani,et al. Motor unit firing pattern of vastus lateralis muscle in type 2 diabetes mellitus patients , 2013, Muscle & nerve.
[86] D. Farina,et al. Simultaneous and Proportional Estimation of Hand Kinematics From EMG During Mirrored Movements at Multiple Degrees-of-Freedom , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[87] Andreas Daffertshofer,et al. Independent Component Analysis of High-Density Electromyography in Muscle Force Estimation , 2007, IEEE Transactions on Biomedical Engineering.
[88] Erkki Oja,et al. Independent Component Analysis , 2001 .
[89] Benoit Gosselin,et al. Recent Advances in Neural Recording Microsystems , 2011, Sensors.
[90] Dinesh Kumar,et al. Applications of ICA and fractal dimension in sEMG signal processing for subtle movement analysis: a review , 2011, Australasian Physical & Engineering Sciences in Medicine.
[91] D. Farina,et al. Origin and Development of Muscle Cramps , 2013, Exercise and sport sciences reviews.
[92] Robert D. Lipschutz,et al. Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms. , 2009, JAMA.
[93] D. Stegeman,et al. The motor unit potential distribution over the skin surface and its use in estimating the motor unit location. , 1997, Acta physiologica Scandinavica.
[94] David Ewins,et al. Surface electromyographic activity of five residual limb muscles recorded during isometric contraction in transfemoral amputees with osseointegrated prostheses. , 2011, Clinical biomechanics.
[95] Dario Farina,et al. Blind separation of linear instantaneous mixtures of nonstationary surface myoelectric signals , 2004, IEEE Transactions on Biomedical Engineering.
[96] Michael Vaiman,et al. EMG Assessment of Analgesia in Treatment of Posttonsillectomy Pain: Random Allocation, Preliminary Report , 2012, The Clinical journal of pain.
[97] D. Zazula,et al. Correlation-based decomposition of surface electromyograms at low contraction forces , 2004, Medical and Biological Engineering and Computing.
[98] J. Benito-León,et al. Essential tremor: emerging views of a common disorder , 2006, Nature Clinical Practice Neurology.
[99] Dario Farina,et al. Identification of common synaptic inputs to motor neurons from the rectified electromyogram , 2013, The Journal of physiology.
[100] Robert W. Mann,et al. Myoelectric Signal Processing: Optimal Estimation Applied to Electromyography - Part I: Derivation of the Optimal Myoprocessor , 1980, IEEE Transactions on Biomedical Engineering.
[101] Lena H Ting,et al. Subject-specific muscle synergies in human balance control are consistent across different biomechanical contexts. , 2010, Journal of neurophysiology.
[102] Fabian J. Theis,et al. On the use of sparse signal decomposition in the analysis of multi-channel surface electromyograms , 2006, Signal Process..
[103] D K Kumar,et al. Surface EMG based hand gesture identification using semi blind ICA: validation of ICA matrix analysis. , 2008, Electromyography and clinical neurophysiology.
[104] Dagmara Piątkowska,et al. Surface electromyography in orthodontics – a literature review , 2013, Medical science monitor : international medical journal of experimental and clinical research.
[105] Dario Farina,et al. A musculoskeletal model of human locomotion driven by a low dimensional set of impulsive excitation primitives , 2013, Front. Comput. Neurosci..
[106] Pierre Comon,et al. Handbook of Blind Source Separation: Independent Component Analysis and Applications , 2010 .
[107] Dario Farina,et al. Influence of the training set on the accuracy of surface EMG classification in dynamic contractions for the control of multifunction prostheses , 2011, Journal of NeuroEngineering and Rehabilitation.