Marie-Françoise Lucas

发表

Optimization of wavelets for classification of movement-related cortical potentials generated by variation of force-related parameters

Marie-Françoise Lucas, Dario Farina, Omar Feix do Nascimento, 2007, Journal of Neuroscience Methods.

Optimisation d'ondelettes pour la classification

C. Doncarli, Marie-Françoise Lucas, E. Hitti, 2001 .

Signal-dependent wavelets for electromyogram classification

Marie-Françoise Lucas, Dario Farina, Christian Doncarli, 2005, Medical & Biological Engineering & Computing.

Optimized Wavelets for Blind Separation of Nonstationary Surface Myoelectric Signals

Marie-Françoise Lucas, Dario Farina, Christian Doncarli, 2008, IEEE Transactions on Biomedical Engineering.

Multi-channel surface EMG classification using support vector machines and signal-based wavelet optimization

Marie-Françoise Lucas, Dario Farina, Christian Doncarli, 2008, Biomed. Signal Process. Control..

Compression of Biomedical Signals With Mother Wavelet Optimization and Best-Basis Wavelet Packet Selection

Marie-Françoise Lucas, Dario Farina, Christian Doncarli, 2007, IEEE Transactions on Biomedical Engineering.

Optimal wavelets for biomedical signal compression

Marie-Françoise Lucas, Dario Farina, Ernest Nlandu Kamavuako, 2006, Medical and Biological Engineering and Computing.

Signal-dependent wavelets for electromyogram classification

Marie-Françoise Lucas, Dario Farina, Christian Doncarli, 2006, Medical and Biological Engineering and Computing.

A Novel Criterion of Wavelet Packet Best Basis Selection for Signal Classification With Application to Brain–Computer Interfaces

Denis Vautrin, Xavier Artusi, Marie-Françoise Lucas, 2009, IEEE Transactions on Biomedical Engineering.

Performance of a Simulated Adaptive BCI Based on Experimental Classification of Movement-Related and Error Potentials

Xavier Artusi, Dario Farina, Imran Khan Niazi, 2011, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

A Novel Criterion of Wavelet Packet Best Basis Selection for Signal Classification With Application to Brain–Computer Interfaces

D. Farina, D. Vautrin, Marie-Françoise Lucas, 2009, IEEE Transactions on Biomedical Engineering.

Optimization of a set of wavelets for classification of imaginary movement-related cortical potentials

D. Farina, C. Doncarli, M.-F. Lucas, 2008, 2008 First International Symposium on Applied Sciences on Biomedical and Communication Technologies.

Identification of task parameters from movement-related cortical potentials

Marie-Françoise Lucas, Dario Farina, Ying Gu, 2009, Medical & Biological Engineering & Computing.

Accuracy of a BCI based on movement-related and error potentials

Xavier Artusi, Marie-Françoise Lucas, Dario Farina, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.