Applications of ICA and fractal dimension in sEMG signal processing for subtle movement analysis: a review
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[1] Erkki Oja,et al. Independent Component Analysis , 2001 .
[2] Marimuthu Palaniswami,et al. Identification of independent biological sensors-electromyogram example , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[3] Toshio Tsuji,et al. An EMG controlled pointing device using a neural network , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).
[4] D. Farina,et al. Myoelectric manifestations of muscle fatigue , 2004 .
[5] H. Devries. MUSCLES ALIVE-THEIR FUNCTIONS REVEALED BY ELECTROMYOGRAPHY , 1976 .
[6] John D. Enderle,et al. Introduction to Biomedical Engineering , 1999 .
[7] Paul E. Barkhaus,et al. Electrodiagnosis in Diseases of Nerve and Muscle: Principles and Practice , 2001 .
[8] Te-Won Lee,et al. Blind Separation of Delayed and Convolved Sources , 1996, NIPS.
[9] S. Hillyard,et al. Eye movement artifact in the CNV. , 1970, Electroencephalography and clinical neurophysiology.
[10] Jun Yu,et al. Time-frequency analysis of myoelectric signals during dynamic contractions: a comparative study , 2000, IEEE Transactions on Biomedical Engineering.
[11] C.I. Christodoulou,et al. Unsupervised pattern recognition for the classification of EMG signals , 1999, IEEE Transactions on Biomedical Engineering.
[12] Werner Lutzenberger,et al. Fractal dimensions of short EEG time series in humans , 1997, Neuroscience Letters.
[13] Terrence J. Sejnowski,et al. Learning Overcomplete Representations , 2000, Neural Computation.
[14] M. J. Katz,et al. Fractals and the analysis of waveforms. , 1988, Computers in biology and medicine.
[15] N. P. Reddy,et al. Fractal analysis of surface EMG signals from the biceps. , 1997, International journal of medical informatics.
[16] 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.
[17] Ganesh R. Naik,et al. Twin SVM for Gesture Classification Using the Surface Electromyogram , 2010, IEEE Transactions on Information Technology in Biomedicine.
[18] Lionel Tarassenko,et al. Application of independent component analysis in removing artefacts from the electrocardiogram , 2006, Neural Computing & Applications.
[19] Terrence J. Sejnowski,et al. Unsupervised Classification with Non-Gaussian Mixture Models Using ICA , 1998, NIPS.
[20] P. Lang,et al. The effects of eye fixation and stimulus and response location on the contingent negative variation (CNV). , 1973, Biological psychology.
[21] Brian Litt,et al. A comparison of waveform fractal dimension algorithms , 2001 .
[22] D K Kumar,et al. Classification of dynamic multi-channel Electromyography by Neural Network. , 2001, Electromyography and clinical neurophysiology.
[23] 胡晓,et al. Classification of surface EMG signal with fractal dimension , 2005 .
[24] Wendy C. Gehm,et al. Non-invasive monitoring of functionally distinct muscle activations during swallowing , 2002, Clinical Neurophysiology.
[25] Evelyne Lutton,et al. Fractals in Engineering; New Trends in Theory and Applications , 2006 .
[26] T. Sejnowski,et al. Removing electroencephalographic artifacts by blind source separation. , 2000, Psychophysiology.
[27] Manfred Schroeder,et al. Fractals, Chaos, Power Laws: Minutes From an Infinite Paradise , 1992 .
[28] Yen-Wei Chen,et al. Articulated hand tracking by PCA-ICA approach , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).
[29] G. Goldberg,et al. Fractal dimension of electromyographic signals recorded with surface electrodes during isometric contractions is linearly correlated with muscle activation , 1994, Muscle & nerve.
[30] Mark J. O’Malley,et al. Analysis and Simulation of changes in EMG amplitude during high-level fatiguing contractions , 2003, IEEE Transactions on Biomedical Engineering.
[31] F.C. Morabito,et al. Neural-ICA and wavelet transform for artifacts removal in surface EMG , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[32] L. K. Hansen,et al. Independent Components in Text , 2000 .
[33] D Djuwari,et al. Multi-step Independent Component Analysis for Removing Cardiac Artefacts from Back SEMG Signals , 2003 .
[34] Hagai Attias,et al. Blind Source Separation and Deconvolution: The Dynamic Component Analysis Algorithm , 1998, Neural Computation.
[35] Zhizhong Wang,et al. MUAP extraction and classification based on wavelet transform and ICA for EMG decomposition , 2006, Medical and Biological Engineering and Computing.
[36] S. Krishnan,et al. Real-Time Classification of Forearm Electromyographic Signals Corresponding to User-Selected Intentional Movements for Multifunction Prosthesis Control , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[37] J. Gitter,et al. Fractal analysis of the electromyographic interference pattern , 1995, Journal of Neuroscience Methods.
[38] Bin Chen,et al. Determining EMG embedding and fractal dimensions and its application , 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).
[39] Jun Kimura,et al. Electrodiagnosis in Diseases of Nerve and Muscle: Principles and Practice , 1983 .
[40] Aude Billard,et al. Recognition and reproduction of gestures using a probabilistic framework combining PCA, ICA and HMM , 2005, ICML.
[41] Ole Winther,et al. Mean-Field Approaches to Independent Component Analysis , 2002, Neural Computation.
[42] J. F. Peters. Surface Electrical Fields Generated by Eye Movements , 1967 .
[43] M. Scherg,et al. Two bilateral sources of the late AEP as identified by a spatio-temporal dipole model. , 1985, Electroencephalography and clinical neurophysiology.
[44] Bruce J. West,et al. Fractal physiology , 1994, IEEE Engineering in Medicine and Biology Magazine.
[45] Ganesh R. Naik,et al. Estimation of Muscle Fatigue during Cyclic Contractions Using Source Separation Techniques , 2009, 2009 Digital Image Computing: Techniques and Applications.
[46] Roger Kalden,et al. Searching for Self-Similarity in GPRS , 2004, PAM.
[47] R. Ilmoniemi,et al. Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain , 1993 .
[48] Toshio Tsuji,et al. Control of an Externally Powered Prosthetic Forearm Using Raw-EMG Signals , 2004 .
[49] Allan Kardec Barros,et al. Application of ICA in the Separation of Breathing Artifacts in ECG Signal , 1998, ICONIP.
[50] Yong Hu,et al. ECG Cancellation for Surface Electromyography Measurement Using Independent Component Analysis , 2007, 2007 IEEE International Symposium on Circuits and Systems.
[51] Te-Won Lee,et al. Independent Component Analysis , 1998, Springer US.
[52] Marimuthu Palaniswami,et al. Hand gestures for HCI using ICA of EMG , 2006 .
[53] Dinesh K Kumar,et al. Testing of motor unit synchronization model for localized muscle fatigue , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[54] A. Walker. Electroencephalography, Basic Principles, Clinical Applications and Related Fields , 1982 .
[55] H. Moldofsky,et al. A spectral method for removing eye movement artifacts from the EEG. , 1978, Electroencephalography and clinical neurophysiology.
[56] E. Kaplan. Muscles Alive. Their Functions Revealed by Electromyography. J. V. Basmajian. Baltimore, The Williams and Wilkins Co., 1962. $8.50 , 1962 .
[57] Mats Carlin,et al. Measuring the complexity of non-fractal shapes by a fractal method , 2000, Pattern Recognit. Lett..
[58] Roberto Merletti,et al. Biophysics of the Generation of EMG Signals , 2004 .
[59] Daniel Graupe,et al. Functional Separation of EMG Signals via ARMA Identification Methods for Prosthesis Control Purposes , 1975, IEEE Transactions on Systems, Man, and Cybernetics.
[60] I. Good,et al. Fractals: Form, Chance and Dimension , 1978 .
[61] Jaime Parra,et al. Magnetoencephalography: an investigational tool or a routine clinical technique? , 2004, Epilepsy & Behavior.
[62] D Stashuk,et al. EMG signal decomposition: how can it be accomplished and used? , 2001, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.
[63] Cajetan M. Akujuobi,et al. Wavelets and fractals: a comparative study , 1992, [1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing.
[64] Marimuthu Palaniswami,et al. Subtle Hand Gesture Identification for HCI Using Temporal Decorrelation Source Separation BSS of Surface EMG , 2007, 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007).
[65] Abdulhamit Subasi,et al. Muscle Fatigue Detection in EMG Using Time–Frequency Methods, ICA and Neural Networks , 2009, Journal of Medical Systems.
[66] Ernst Fernando Lopes Da Silva Niedermeyer,et al. Electroencephalography, basic principles, clinical applications, and related fields , 1982 .
[67] M. Palaniswami,et al. Source identification and separation using sub-band ICA of sEMG , 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.
[68] M. Riley,et al. IN FRACTAL PHYSIOLOGY , 2022 .
[69] Jeffrey M. Hausdorff,et al. Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .
[70] G.R. Naik,et al. ICA based identification of sources in sEMG , 2007, 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information.
[71] John S. Barlow,et al. Computerized Clinical Electroencephalography in Perspective , 1979, IEEE Transactions on Biomedical Engineering.
[72] M. Girolami,et al. Advances in Independent Component Analysis , 2000, Perspectives in Neural Computing.
[73] Erkki Oja,et al. A fast algorithm for estimating overcomplete ICA bases for image windows , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).
[74] Harry J. Griffiths. Encyclopedia of Medical Devices and Instrumentation , 1989 .
[75] J.C. Mosher,et al. Multiple dipole modeling and localization from spatio-temporal MEG data , 1992, IEEE Transactions on Biomedical Engineering.
[76] J.C. Rajapakse,et al. Independent component analysis and beyond in brain imaging: EEG, MEG, fMRI, and PET , 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..
[77] Dana H. Brooks,et al. Classification of multifunction surface EMG using advanced AR model representations , 1994, Proceedings of 1994 20th Annual Northeast Bioengineering Conference.
[78] J. C. Woestenburg,et al. The removal of the eye-movement artifact from the EEG by regression analysis in the frequency domain , 1983, Biological Psychology.
[79] R Le Bars,et al. Automatic classification of electromyographic signals. , 1983, Electroencephalography and clinical neurophysiology.
[80] D.K. Kumar,et al. Fractal Based Modelling and Analysis of Electromyography (EMG) To Identify Subtle Actions , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[81] Manish Sarkar,et al. Characterization of medical time series using fuzzy similarity-based fractal dimensions , 2003, Artif. Intell. Medicine.
[82] Claude Tricot,et al. Fractals in Engineering , 1997 .
[83] Erkki Oja,et al. Independent component analysis: algorithms and applications , 2000, Neural Networks.
[84] Barak A. Pearlmutter,et al. Independent Components of Magnetoencephalography: Localization , 2002, Neural Computation.
[85] M. Khokha,et al. Fractal Geometry in Biological Systems: An Analytical Approach , 1996 .
[86] Erkki Oja,et al. Independent component approach to the analysis of EEG and MEG recordings , 2000, IEEE Transactions on Biomedical Engineering.
[87] Arthur Petrosian,et al. Kolmogorov complexity of finite sequences and recognition of different preictal EEG patterns , 1995, Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems.
[88] A Bartolo,et al. Analysis of diaphragm EMG signals: comparison of gating vs. subtraction for removal of ECG contamination. , 1996, Journal of applied physiology.
[89] Bert U Kleine,et al. Using two-dimensional spatial information in decomposition of surface EMG signals. , 2007, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.
[90] Theerasak Chanwimalueang,et al. An Eigen Based Feature on Time-Frequency Representation of EMG , 2009, 2009 IEEE-RIVF International Conference on Computing and Communication Technologies.
[91] J. Cram,et al. Introduction to Surface Electromyography , 1998 .
[92] T. Musha,et al. 1/f Fluctuation of Heartbeat Period , 1982, IEEE Transactions on Biomedical Engineering.
[93] D K Kumar,et al. Neural networks and wavelet decomposition for classification of surface electromyography. , 2000, Electromyography and clinical neurophysiology.
[94] Necaattin Barisçi,et al. The Adaptive ARMA Analysis of EMG Signals , 2008, Journal of Medical Systems.
[95] Ganesh R. Naik,et al. Identification of Hand and Finger Movements Using Multi Run ICA of Surface Electromyogram , 2012, Journal of Medical Systems.
[96] F.C. Morabito,et al. Spatio-temporal analysis of surface electromyography signals by independent component and time-scale analysis , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.
[97] S Makeig,et al. Analysis of fMRI data by blind separation into independent spatial components , 1998, Human brain mapping.
[98] Kevin B. Englehart,et al. A robust, real-time control scheme for multifunction myoelectric control , 2003, IEEE Transactions on Biomedical Engineering.
[99] Kenneth Falconer,et al. Fractal Geometry: Mathematical Foundations and Applications , 1990 .
[100] Robert L. Devaney. Chaos in the Classroom , 2012 .
[101] K. Nagata,et al. A Classification Method of Hand Movements Using Multi Channel Electrode , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[102] K. Nagata,et al. Development of the assist system to operate a computer for the disabled , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).
[103] T. Higuchi. Approach to an irregular time series on the basis of the fractal theory , 1988 .
[104] C. M. Lim,et al. Analysis of cardiac health using fractal dimension and wavelet transformation , 2005 .
[105] Ivanov PCh,et al. Stochastic feedback and the regulation of biological rhythms , 1998 .
[106] Alberto Rainoldi,et al. Applications in Rehabilitation Medicine and Related Fields , 2004 .
[107] Shaojun Xiao,et al. Fractal dimension of surface EMG and its determinants , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).
[108] T. Gasser,et al. Correction of EOG artifacts in event-related potentials of the EEG: aspects of reliability and validity. , 1982, Psychophysiology.
[109] Nitish V. Thakor,et al. Decoding of Individuated Finger Movements Using Surface Electromyography , 2009, IEEE Transactions on Biomedical Engineering.
[110] Rajesh P. N. Rao,et al. Real-Time Classification of Electromyographic Signals for Robotic Control , 2005, AAAI.
[111] Ganesh R. Naik,et al. Hybrid Feature Selection for Myoelectric Signal Classification Using MICA , 2010 .
[112] H. Hastings. Fractal geometry in biological systems: An analytical approach , 1997 .
[113] Jeffrey M. Hausdorff,et al. Self-Organized Biological Dynamics and Nonlinear Control: Fractal mechanisms in neuronal control: human heartbeat and gait dynamics in health and disease , 2000 .
[114] J Duchêne,et al. Surface electromyogram during voluntary contraction: processing tools and relation to physiological events. , 1993, Critical reviews in biomedical engineering.