A Genetic Algorithm for the Resolution of Superimposed Motor Unit Action Potentials
暂无分享,去创建一个
Réjean Plamondon | Pierre A. Mathieu | Joël R. Florestal | J. R. Florestal | R. Plamondon | P. Mathieu
[1] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[2] C. D. De Luca. Physiology and Mathematics of Myoelectric Signals , 1979, IEEE Transactions on Biomedical Engineering.
[3] Carlo J. De Luca,et al. Physiology and Mathematics of Myoelectric Signals , 1979 .
[4] Ronald S. Lefever,et al. A Procedure for Decomposing the Myoelectric Signal Into Its Constituent Action Potentials - Part I: Technique, Theory, and Implementation , 1982, IEEE Transactions on Biomedical Engineering.
[5] Ronald S. Lefever,et al. A Procedure for Decomposing the Myoelectric Signal Into Its Constituent Action Potentials-Part II: Execution and Test for Accuracy , 1982, IEEE Transactions on Biomedical Engineering.
[6] Kevin C. McGill,et al. High-Resolution Alignment of Sampled Waveforms , 1984, IEEE Transactions on Biomedical Engineering.
[7] B Mambrito,et al. A technique for the detection, decomposition and analysis of the EMG signal. , 1984, Electroencephalography and clinical neurophysiology.
[8] F. Buchthal. Electromyography in the evaluation of muscle diseases. , 1985, Neurologic clinics.
[9] Kevin C. McGill,et al. Automatic Decomposition of the Clinical Electromyogram , 1985, IEEE Transactions on Biomedical Engineering.
[10] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[11] Dan Boneh,et al. On genetic algorithms , 1995, COLT '95.
[12] Zhiqian Wang,et al. Separation of superimposed EMG potentials using expansion matching technique , 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).
[13] R. Chandra,et al. Detection, classification, and superposition resolution of action potentials in multiunit single-channel recordings by an on-line real-time neural network , 1997, IEEE Transactions on Biomedical Engineering.
[14] J. Fang,et al. Decomposition of multiunit electromyographic signals , 1999, IEEE Transactions on Biomedical Engineering.
[15] Alexander Adam,et al. Decomposition and Analysis of Intramuscular Electromyographic Signals , 1999 .
[16] C.I. Christodoulou,et al. Unsupervised pattern recognition for the classification of EMG signals , 1999, IEEE Transactions on Biomedical Engineering.
[17] George S. Moschytz,et al. High-precision EMG signal decomposition using communication techniques , 2000, IEEE Trans. Signal Process..
[18] Dario Farina,et al. A model for the generation of synthetic intramuscular EMG signals to test decomposition algorithms , 2001, IEEE Transactions on Biomedical Engineering.
[19] 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.
[20] Kevin C. McGill,et al. Optimal resolution of superimposed action potentials , 2002, IEEE Transactions on Biomedical Engineering.
[21] Goldberg,et al. Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.
[22] Dimitrios I. Fotiadis,et al. Automatic discovery of the number of MUAP clusters and superimposed MUAP decomposition in electromyograms , 2003, 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 2003..
[23] George S. Moschytz,et al. A software package for the decomposition of long-term multichannel EMG signals using wavelet coefficients , 2003, IEEE Transactions on Biomedical Engineering.
[24] R. Wotiz,et al. Improved resolution of pulse superpositions in a knowledge-based system EMG decomposition , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[25] H.-A. Loeliger,et al. Decomposition of electromyographic signals by iterative message passing in a graphical model , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[26] Chang Wook Ahn,et al. On the practical genetic algorithms , 2005, GECCO '05.
[27] Kevin C. McGill,et al. EMGLAB: An interactive EMG decomposition program , 2005, Journal of Neuroscience Methods.
[28] Mohamed Kamel,et al. Adaptive fuzzy k-NN classifier for EMG signal decomposition. , 2006, Medical engineering & physics.
[29] Armando Malanda-Trigueros,et al. Automated decomposition of intramuscular electromyographic signals , 2006, IEEE Transactions on Biomedical Engineering.
[30] D. Stashuk,et al. Resolving superimposed motor unit action potentials , 2007, Medical and Biological Engineering and Computing.