Probabilistic inference-based classification applied to myoelectric signal decomposition
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[1] S. Haberman. The Analysis of Residuals in Cross-Classified Tables , 1973 .
[2] I. Good,et al. Information, weight of evidence, the singularity between probability measures and signal detection , 1974 .
[3] D. Stashuk,et al. Automatic decomposition of selective needle-detected myoelectric signals , 1988, IEEE Transactions on Biomedical Engineering.
[4] George S. Moschytz,et al. A New Framework and Computer Program for Quantitative EMG Signal Analysis , 1984, IEEE Transactions on Biomedical Engineering.
[5] Julius T. Tou,et al. Pattern Recognition Principles , 1974 .
[6] H. Broman. Knowledge-based signal processing in the decomposition of myoelectric signals , 1988, IEEE Engineering in Medicine and Biology Magazine.
[7] 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.
[8] Keith C. C. Chan,et al. APACS: a system for the automatic analysis and classification of conceptual patterns , 1990, Comput. Intell..
[9] Andrew K. C. Wong,et al. Synthesizing Statistical Knowledge from Incomplete Mixed-Mode Data , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Kevin C. McGill,et al. Automatic Decomposition of the Clinical Electromyogram , 1985, IEEE Transactions on Biomedical Engineering.