Publications
Detection of movement-related cortical potentials based on subject-independent training. Detection of movement-related cortical potentials based on subject-independent training.. Retrieved from http://europepmc.org/abstract/med/23283643
. (2013). . (Submitted).
A brain–computer interface for single-trial detection of gait initiation from movement related cortical potentials. Clinical Neurophysiology, 126, 154–159. Elsevier.
. (2015). An Accurate, Versatile, and Robust Brain Switch for Neurorehabilitation. In Brain-Computer Interface Research (pp. 47–61). Springer International Publishing.
. (2014). Myoelectric control of upper limb prosthesis: current status, challenges and recent advances. In Front. Neuroeng. Conference Abstract: MERIDIAN 30M Workshop. doi: 10.3389/conf. fneng (Vol. 4).
. (2014). A state-based, proportional myoelectric control method: online validation and comparison with the clinical state-of-the-art. Journal of neuroengineering and rehabilitation, 11, 110. BioMed Central.
. (2014). Is accurate mapping of EMG signals on kinematics needed for precise online myoelectric control?. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22, 549–558. IEEE.
. (2014). Intuitive, Online, Simultaneous and Proportional Myoelectric Control Over Two Degrees of Freedom in Upper Limb Amputees. IEEE transactions on neural systems and rehabilitation engineering: a publication of the IEEE Engineering in Medicine and Biology Society.
. (2013). Effect of arm position on the prediction of kinematics from EMG in amputees. Medical and Biological Engineering and Computing, 51, 143–151. Springer Berlin/Heidelberg.
. (2013). EMG-based simultaneous and proportional estimation of wrist/hand dynamics in uni-Lateral trans-radial amputees. Journal of NeuroEngineering and Rehabilitation, 9, 42. BioMed Central Ltd.
(2012). Myoelectric Control of Artificial Limbs?? Is There a Need to Change Focus?[In the Spotlight]. Signal Processing Magazine, IEEE, 29, 152–150. IEEE.
. (2012). Covariance and Time-Scale Methods for Blind Separation of Delayed Sources. Biomedical Engineering, IEEE Transactions on, 1–1. IEEE.
. (2010). . (2010). Extracting force functions from the multi-channel surface electromyographic signal. UNIVERSITY OF NEW BRUNSWICK.
. (2009). Spectrum of the nonstationary electromyographic signal modelled with integral pulse frequency modulation and its application to estimating neural drive information. Journal of Electromyography and Kinesiology, 19, e267–e279. Elsevier.
. (2009). Extracting simultaneous and proportional neural control information for multiple-DOF prostheses from the surface electromyographic signal. Biomedical Engineering, IEEE Transactions on, 56, 1070–1080. IEEE.
. (2009). Estimating forces at multiple degrees of freedom from surface EMG using non-negative matrix factorization for myoelectric control. In Applied Sciences on Biomedical and Communication Technologies, 2008. ISABEL'08. First International Symposium on (pp. 1–5). IEEE.
. (2008). A simulation method for the firing sequences of motor units. Journal of Electromyography and Kinesiology, 17, 527–534. Elsevier.
. (2007). A simulation study on the parameter sensitivity of the deconvolution CVD estimator for motor units. In the Proceedings of the 29th annual conference of the Canadian Medical and Biological Engineering Society.
. (2006). Modeling of muscle motor unit innervation process correlation and common drive. Biomedical Engineering, IEEE Transactions on, 53, 1605–1614. IEEE.
. (2006).