Spike sorting by stochastic simulation, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.19, issue.3, pp.249-259, 2011. ,
URL : https://hal.archives-ouvertes.fr/inserm-00954647
Automatic decomposition of multichannel intramuscular EMG signals, J. of Electromyography and Kinesiology, vol.19, pp.1-9, 2009. ,
Robust decomposition of single-channel intramuscular emg signals at low force levels, Journal of neural engineering, vol.8, issue.6, p.66015, 2011. ,
High-yield decomposition of surface EMG signals, Clinical Neurophysiology, vol.121, issue.10, pp.1602-1615, 2010. ,
Multi-channel intramuscular and surface emg decomposition by convolutive blind source separation, Journal of Neural Engineering, vol.13, issue.2, p.26027, 2016. ,
Decomposition of Multi-Channel Intramuscular EMG Signals by Cyclostationary-Based Blind Source Separation, IEEE Trans. on Neural Systems and Rehabilitation Engineering, vol.25, issue.11, pp.2035-2045, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-02163942
Real-Time Motor Unit Identification From High-Density Surface EMG, IEEE Trans. on Neural Systems and Rehabilitation Engineering, vol.21, issue.6, pp.949-958, 2013. ,
Multichannel blind source separation using convolution kernel compensation, IEEE Trans. Signal Process, vol.55, pp.4487-96, 2007. ,
A Real-Time Method for Decoding the Neural Drive to Muscles Using Single-Channel Intra-Muscular EMG Recordings, Int. J. of Neural Systems, vol.27, issue.6, p.1750025, 2017. ,
Feature extraction using first and second derivative extrema (FSDE) for real-time and hardware-efficient spike sorting, Journal of Neuroscience Methods, vol.215, issue.1, pp.29-37, 2013. ,
Minimum requirements for accurate and efficient real-time on-chip spike sorting, Journal of Neuroscience Methods, vol.230, pp.51-64, 2014. ,
Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting, Frontiers in Neuroscience, vol.10, 2016. ,
URL : https://hal.archives-ouvertes.fr/cea-01846860
On the use of wavelet denoising and spike sorting techniques to process electroneurographic signals recorded using intraneural electrodes, Journal of Neuroscience Methods, vol.172, issue.2, pp.294-302, 2008. ,
Real-time neural signals decoding onto off-the-shelf dsp processors for neuroprosthetic applications, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.24, issue.9, pp.993-1002, 2016. ,
Sequential Decoding of Intramuscular EMG Signals via Estimation of a Markov Model, IEEE Trans. on Neural Systems and Rehabilitation Engineering, vol.22, issue.5, pp.1030-1070, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01062932
Recursive decomposition of electromyographic signals with a varying number of active sources: Bayesian modelling and filtering (under-submission) ,
A model for the generation of synthetic intramuscular EMG signals to test decomposition algorithms, IEEE Trans. on Biomedical Engineering, vol.48, issue.1, pp.66-77, 2001. ,
EMG signal decomposition: how can it be accomplished and used?, J. of Electromyography and Kinesiology, vol.11, issue.3, pp.151-173, 2001. ,
Reliability theory for discrete-time semi-Markov systems, Semi-Markov Chains and Hidden Semi-Markov Models toward Applications, ser. Lecture Notes in Statistics, vol.191, pp.1-30, 2008. ,
Motor unit, Compr Physiol, vol.2, issue.4, pp.2629-2682, 2012. ,
Marginalized particle filters for mixed linear nonlinear state-space models, IEEE Trans. on Signal Processing, vol.53, pp.2279-2289, 2005. ,
, Theory and Practice of Recursive Identification. Massachusetts and London, 1983.
Automated Decomposition of Intramuscular Electromyographic Signals, IEEE Trans. on Biomedical Engineering, vol.53, issue.5, pp.832-839, 2006. ,
Automatic decomposition of the clinical electromyogram, IEEE Trans. on biomedical engineering, vol.32, issue.7, 1985. ,
A novel method for automated EMG decomposition and MUAP classification, Artificial Intelligence in Medicine, vol.37, pp.55-64, 2006. ,
CUDA Programming A Developer's Guide to Parallel Computing with GPUs, 2013. ,
Whitepaper NVIDIA's Next Generation CUDA Compute Architecture: Fermi. NVIDIA Corporation, 2009. ,
CUDA by example: an introduction to Generalpurpose GPU Programming, 2010. ,
Fast parallel sorting under logp: Experience with the cm-5, IEEE Trans. Parallel Distrib. Syst, vol.7, issue.8, pp.791-805, 1996. ,
Designing efficient sorting algorithms for manycore gpus, 23rd IEEE International Parallel and Distributed Processing Symposium, pp.1-10, 2009. ,
Gpu-abisort: optimal parallel sorting on stream architectures, Proceedings 20th IEEE International Parallel and Distributed Processing Symposium, 2006. ,
EMGLAB: An interactive EMG decomposition program, J. of Neuroscience Methods, vol.149, issue.2, pp.121-133, 2005. ,
Evaluation of intra-muscular EMG signal decomposition algorithms, J. of Electromyography and Kinesiology, vol.11, pp.175-187, 2001. ,
Myoelectric control systemsa survey, Biomedical Signal Processing and Control, vol.2, issue.4, pp.275-294, 2007. ,