J. R. Wolpaw, Brain-computer interfaces as new brain output pathways, The Journal of Physiology, vol.24, issue.3, pp.613-619, 2007.
DOI : 10.1146/annurev.neuro.24.1.807

Z. Lv, X. Wu, M. Li, and C. Zhang, Implementation of the EOG-Based Human Computer Interface System, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering, pp.2188-2191
DOI : 10.1109/ICBBE.2008.877

C. K. Battye, A. Nightingale, and J. Whillis, THE USE OF MYO-ELECTRIC CURRENTS IN THE OPERATION OF PROSTHESES, The Journal of Bone and Joint Surgery. British volume, vol.37, issue.3, pp.506-510, 1955.
DOI : 10.1302/0301-620X.37B3.506

A. Akhtar, L. J. Hargrove, and T. Bretl, Prediction of distal arm joint angles from EMG and shoulder orientation for prosthesis control, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4160-4163
DOI : 10.1109/EMBC.2012.6346883

R. N. Khushaba, S. Kodagoda, M. Takruri, and G. Dissanayake, Toward improved control of prosthetic fingers using surface electromyogram (EMG) signals, Expert Systems with Applications, vol.39, issue.12, pp.10731-10738, 2012.
DOI : 10.1016/j.eswa.2012.02.192

A. Wilson, Augmentative Communication in Practice: An Introduction, 1998.

S. Ghedira, P. Pino, and G. Bourhis, Conception and Experimentation of a Communication Device with Adaptive Scanning, ACM Transactions on Accessible Computing, vol.1, issue.3, pp.1-23, 2009.
DOI : 10.1145/1497302.1497304

URL : https://hal.archives-ouvertes.fr/hal-01313007

E. F. Lopresti, D. M. Brienza, and J. Angelo, Neck movement patterns and functional performance for computer head controls, Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. No.99CH37015), p.591, 1999.
DOI : 10.1109/IEMBS.1999.802669

E. F. Lopresti and D. M. Brienza, Adaptive Software for Head-Operated Computer Controls, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.12, issue.1, pp.102-111, 2004.
DOI : 10.1109/TNSRE.2003.822762

M. R. Williams and R. F. Kirsch, Evaluation of Head Orientation and Neck Muscle EMG Signals as Command Inputs to a Human???Computer Interface for Individuals With High Tetraplegia, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.16, issue.5, pp.485-496, 2008.
DOI : 10.1109/TNSRE.2008.2006216

B. Denby, T. Schultz, K. Honda, T. Hueber, J. M. Gilbert et al., Silent speech interfaces, Speech Communication, vol.52, issue.4, pp.270-287, 2010.
DOI : 10.1016/j.specom.2009.08.002

URL : https://hal.archives-ouvertes.fr/hal-00990781

T. A. Bekinschtein, M. R. Coleman, J. N. Iii, J. D. Pickard, and F. F. Manes, Can electromyography objectively detect voluntary movement in disorders of consciousness?, Journal of Neurology, Neurosurgery & Psychiatry, vol.79, issue.7, pp.826-828, 2008.
DOI : 10.1136/jnnp.2007.132738

P. E. Patterson, Development of an inexpensive environmental remote control system for a quadriplegic individual, Biomedical Sciences Instrumentation, vol.31, pp.275-280, 1995.

P. S. Luna, E. Osorio, E. Cardiel, and P. R. Hedz, Communication aid for speech disabled people using Morse codification, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology, pp.2434-2435, 2002.
DOI : 10.1109/IEMBS.2002.1053361

H. Park, S. Kwon, H. Kim, and K. Park, Adaptive EMG-driven communication for the disabled, Annual International Conference of the IEEE Engineering in Medicine and Biology, p.656, 1999.

. Ablenet, EMG Impulse system, 2009.

C. Perez-maldonado, A. S. Wexler, and S. S. Joshi, Two-Dimensional Cursor-to-Target Control From Single Muscle Site sEMG Signals, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.18, issue.2, pp.203-209, 2010.
DOI : 10.1109/TNSRE.2009.2039394

A. B. Barreto, S. D. Scargle, and M. Adjouadi, A practical EMG-based humancomputer interface for users with motor disabilities, Journal of Rehabilitation Research and Development, vol.37, issue.1, pp.53-64, 2000.

C. Chin and A. Barreto, Neural Control of the Computer Cursor Based on Spectral Analysis of the Electromyogram, Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005., pp.446-449, 2005.
DOI : 10.1109/CNE.2005.1419655

C. A. Chin and A. Barreto, Enhanced Hybrid Electromyogram / Eye Gaze Tracking Cursor Control System for Hands-Free Computer Interaction, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, pp.2296-2299, 2006.
DOI : 10.1109/IEMBS.2006.259595

C. A. Chin, A. Barreto, J. G. Cremades, and M. Adjouadi, Integrated electromyogram and eye-gaze tracking cursor control system for computer users with motor disabilities, The Journal of Rehabilitation Research and Development, vol.45, issue.1, p.161, 2008.
DOI : 10.1682/JRRD.2007.03.0050

E. C. Lyons, A. B. Barreto, and M. Adjouadi, Development of a hybrid hands-off human computer interface based on electromyogram signals and eye-gaze tracking, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.1423-1426, 2001.
DOI : 10.1109/IEMBS.2001.1020469

V. Surakka, M. Illi, and P. Isokoski, Gazing and frowning as a new human--computer interaction technique, ACM Transactions on Applied Perception, vol.1, issue.1, pp.40-56, 2004.
DOI : 10.1145/1008722.1008726

P. M. Fitts, The information capacity of the human motor system in controlling the amplitude of movement., Journal of Experimental Psychology, vol.47, issue.6, pp.381-391, 1954.
DOI : 10.1037/h0055392

C. N. Huang, C. H. Chen, and H. Y. Chung, Application of facial electromyography in computer mouse access for people with disabilities, Disability and Rehabilitation, vol.28, issue.4, pp.231-237, 2006.
DOI : 10.1080/09638280500158349

Y. L. Chen, T. S. Kuo, W. H. Chang, J. S. Lai, and E. J. , A novel position sensors-controlled computer mouse for the disabled, Annual International Conference of the IEEE Engineering in Medicine and Biology, pp.2263-2266, 2000.

G. Chang, W. Kang, J. Luh, C. Cheng, J. Lai et al., Real-time implementation of electromyogram pattern recognition as a control command of man-machine interface, Medical Engineering & Physics, vol.18, issue.7, pp.529-537, 1996.
DOI : 10.1016/1350-4533(96)00006-9

Y. Tarng, G. Chang, J. Lai, and T. Kuo, Design of the human/computer interface for human with disability -using myoelectric signal controlled, Annual International Conference of the IEEE Engineering in Medicine and Biology -Proceedings, 1909.

I. Moon, K. Kim, J. Ryu, and M. Mun, Face direction-based human-computer interface using image observation and EMG signal for the disabled, IEEE International Conference on Robotics and Automation, pp.1515-1520, 2003.

O. Fukuda, J. Arita, and T. Tsuji, An EMG-controlled omnidirectional pointing device, Systems and Computers in Japan, vol.133, issue.4, pp.55-63, 2006.
DOI : 10.1002/scj.20401

T. S. Saponas, D. S. Tan, D. Morris, R. Balakrishnan, J. Turner et al., Enabling always-available input with muscle-computer interfaces, Proceedings of the 22nd annual ACM symposium on User interface software and technology, UIST '09, pp.167-176, 2009.
DOI : 10.1145/1622176.1622208

C. Choi, Y. Na, B. Rim, Y. Kim, S. Kang et al., An SEMG computer interface using three myoelectric sites for proportional two-dimensional cursor motion control and clicking for individuals with spinal cord injuries, Medical Engineering & Physics, vol.35, issue.6, 2012.
DOI : 10.1016/j.medengphy.2012.08.006

. Vaughan, Brain-computer interfaces for communication and control, Clinical Neurophysiology, vol.113, issue.6, pp.767-791, 2002.

R. G. Radwin, G. C. Vanderheiden, and M. L. Lin, A Method for Evaluating Head-Controlled Computer Input Devices Using Fitts' Law, Human Factors: The Journal of the Human Factors and Ergonomics Society, vol.12, issue.3, pp.423-438, 1990.
DOI : 10.1080/00140138308963437

S. Card, W. English, and B. Burr, Evaluation of Mouse, Rate-Controlled Isometric Joystick, Step Keys, and Text Keys for Text Selection on a CRT, Ergonomics, vol.36, issue.8, pp.601-613, 1978.
DOI : 10.1080/00140136708930874

C. E. Stepp, J. T. Heaton, R. G. Rolland, and R. E. Hillman, Neck and Face Surface Electromyography for Prosthetic Voice Control After Total Laryngectomy, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.17, issue.2, pp.146-155, 2009.
DOI : 10.1109/TNSRE.2009.2017805

J. D. Hoit, R. B. Banzett, H. L. Lohmeier, T. J. Hixon, and R. Brown, Clinical Ventilator Adjustments That Improve Speech, Chest, vol.124, issue.4, pp.1512-1521, 2003.
DOI : 10.1378/chest.124.4.1512

L. Ki-seung, EMG-Based Speech Recognition Using Hidden Markov Models With Global Control Variables, IEEE Transactions on biomedical engineering, vol.55, issue.3, pp.930-940, 2008.

R. S. Kumaran, K. Narayanan, and J. N. Gowdy, Myoelectric signals for multimodal speech recognition, Proc. INTERPEECH (Eurospeech), pp.1189-1192, 2005.

S. Kumar, D. K. Kumar, M. Alemu, M. Burry, P. M. et al., EMG based voice recognition, Proc. IEEE ISSNIP, pp.593-597, 2004.

L. Maier-hein, F. Metze, T. Schultz, and A. Waibel, Session independent nonaudible speech recognition using surface electromyography, Proceedings of ASRU 2005: 2005 IEEE Automatic Speech Recognition and Understanding Workshop, pp.307-312, 2005.
DOI : 10.1109/asru.2005.1566521

URL : https://publikationen.bibliothek.kit.edu/1000008594/336105

H. Manabe and Z. Zhang, Multi-stream HMM for EMG-based speech recognition, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4389-4392, 2004.
DOI : 10.1109/IEMBS.2004.1404221

A. D. Chan, K. Englehart, B. Hudgins, and D. F. Lovely, Myo-electric signals to augment speech recognition, Medical & Biological Engineering & Computing, vol.32, issue.4, pp.500-504, 2001.
DOI : 10.1007/BF02345373

M. Wand, C. S. Szu-jou, and T. Schultz, Wavelet-based front-end for electromyographic speech recognition, Proc. 8th Annual Conference of the International Speech Communication Association, pp.1773-1776, 2007.

S. C. Jou, T. Schultz, M. Walliczek, F. Kraft, and A. Waibel, Towards continuous speech recognition using surface electromyography, Proceedings of INTER- SPEECH 2006 and 9th International Conference on Spoken Language Processing, pp.573-576, 2006.

N. Njd, M. Hannula, N. Narra, and J. Hyttinen, Electrode position optimization for facial EMG measurements for human-computer interface, Methods of Information in Medicine, vol.47, issue.3, pp.192-197, 2008.

P. Bonato, T. , and M. Knaflitz, A statistical method for the measurement of muscle activation intervals from surface myoelectric signal during gait, IEEE Transactions on Biomedical Engineering, vol.45, issue.3, pp.287-299, 1998.
DOI : 10.1109/10.661154

E. Henneman and L. M. , Functional Organization of Motoneuron Pool and its Inputs, 2011.
DOI : 10.1016/0022-5193(73)90259-2

J. A. Stephens and T. P. Usherwood, The mechanical properties of human motor units with special reference to their fatiguability and recruitment threshold, Brain Research, vol.125, issue.1, pp.91-97, 1977.
DOI : 10.1016/0006-8993(77)90361-4

D. A. Jones and J. M. Round, Skeletal muscle in health and disease, 1990.

R. E. Burke, Motor Units: Anatomy, Physiology, and Functional Organization
DOI : 10.1016/0022-5193(73)90259-2

W. Happak, J. Liu, G. Burggasser, A. Flowers, H. Gruber et al., Human facial muscles: Dimensions, motor endplate distribution, and presence of muscle fibers with multiple motor endplates, The Anatomical Record, vol.182, issue.2, pp.276-284, 1997.
DOI : 10.1007/BF00185520

D. Farina and R. Merletti, Methods for estimating muscle fibre conduction velocity from surface electromyographic signals, Medical & Biological Engineering & Computing, vol.10, issue.4, pp.432-445, 2004.
DOI : 10.1007/978-3-642-50944-5

E. Henneman, C. B. Olson, . Relations, . Structure, . Function et al., RELATIONS BETWEEN STRUCTURE AND FUNCTION IN THE DESIGN OF SKELETAL MUSCLES, Journal of Neurophysiology, vol.28, issue.3, pp.581-598, 1965.
DOI : 10.1152/jn.1965.28.3.581

K. Seki and M. Narusawa, Firing rate modulation of human motor units in different muscles during isometric contraction with various forces, Brain Research, vol.719, issue.1-2, pp.1-7, 1996.
DOI : 10.1016/0006-8993(95)01432-2

K. C. Mcgill, K. L. Cummins, and L. J. Dorfman, Automatic Decomposition of the Clinical Electromyogram, IEEE Transactions on Biomedical Engineering, vol.32, issue.7, pp.470-477, 1985.
DOI : 10.1109/TBME.1985.325562

F. Zaheer, S. H. Roy, and C. J. De-luca, Preferred sensor sites for surface EMG signal decomposition, Physiological Measurement, vol.33, issue.2, pp.195-206, 2012.
DOI : 10.1088/0967-3334/33/2/195

R. Merletti, Surface electromyography: The SENIAM project, Europa Medicophysica, vol.36, issue.4, pp.167-169, 2000.

L. Mesin, S. Smith, S. Hugo, T. Viljoen, and . Hanekom, Effect of spatial filtering on crosstalk reduction in surface EMG recordings, Medical Engineering & Physics, vol.31, issue.3, pp.374-383, 2009.
DOI : 10.1016/j.medengphy.2008.05.006

A. Holobar, M. A. Minetto, A. Botter, and D. Farina, Identification of Motor Unit Discharge Patterns from High-Density Surface EMG during High Contraction Levels, IFMBE Proceedings, ch. 301, pp.1165-1168, 2012.
DOI : 10.1007/978-3-642-23508-5_301

D. Stegeman and H. Hermens, Standards for surface electromyography: the European project " Surface EMG for non-invasive assessment of muscles (SENIAM), pp.108-112, 1998.

T. W. Beck, T. J. Housh, G. O. Johnson, J. P. Weir, J. T. Cramer et al., The effects of interelectrode distance on electromyographic amplitude and mean power frequency during isokinetic and isometric muscle actions of the biceps brachii, Journal of Electromyography and Kinesiology, vol.15, issue.5, pp.482-495, 2005.
DOI : 10.1016/j.jelekin.2004.12.001

D. Stashuk, EMG signal decomposition: how can it be accomplished and used?, Journal of Electromyography and Kinesiology, vol.11, issue.3, pp.151-173, 2001.
DOI : 10.1016/S1050-6411(00)00050-X

T. Vukova, M. Vydevska-chichova, and N. Radicheva, Fatigue-induced changes in muscle fiber action potentials estimated by wavelet analysis, Journal of Electromyography and Kinesiology, vol.18, issue.3, pp.397-409, 2008.
DOI : 10.1016/j.jelekin.2006.09.014

R. Gut and G. S. Moschytz, High-precision EMG signal decomposition using communication techniques, IEEE Transactions on Signal Processing, vol.48, issue.9, pp.2487-2494, 2000.
DOI : 10.1109/78.863051

B. Gerdle, N. Stlund, C. Grnlund, K. Roeleveld, and J. S. Karlsson, Firing rate and conduction velocity of single motor units in the trapezius muscle in fibromyalgia patients and healthy controls, Journal of Electromyography and Kinesiology, vol.18, issue.5, pp.707-716, 2008.
DOI : 10.1016/j.jelekin.2007.02.016

H. Kato, M. Taniguchi, and M. Honda, Statistical analysis for multiplicatively modulated nonlinear autoregressive model and its applications to electrophysiological signal analysis in humans, IEEE Transactions on Signal Processing, vol.54, issue.9, pp.3414-3425, 2006.
DOI : 10.1109/TSP.2006.877663

O. P. Neto and M. Magini, Electromiographic and kinematic characteristics of Kung Fu Yau-Man palm strike, Journal of Electromyography and Kinesiology, vol.18, issue.6, pp.1047-1052, 2008.
DOI : 10.1016/j.jelekin.2007.03.009

T. A. Kuiken, G. Li, B. A. Lock, R. D. Lipschutz, L. A. Miller et al., Targeted Muscle Reinnervation for Real-time Myoelectric Control of Multifunction Artificial Arms, JAMA, vol.301, issue.6, pp.619-628, 2009.
DOI : 10.1001/jama.2009.116

C. S. Tsui, P. Jia, J. Q. Gan, O. Hu, and K. Yuan, EMG?based hands?free wheelchair control with EOG attention shift detection, Proc. International Conference on Robotics and Biomimetics, pp.1266-1271, 2008.

C. H. Yang, Adaptive Morse code communication system for severely disabled individuals, Medical Engineering & Physics, vol.22, issue.1, pp.59-66, 2000.
DOI : 10.1016/S1350-4533(00)00005-9

C. H. Yang, H. C. Huang, L. Y. Chuang, and C. H. Yang, A mobile communication aid system for persons with physical disabilities, Mathematical and Computer Modelling, vol.47, issue.3-4, pp.3-4, 2008.
DOI : 10.1016/j.mcm.2007.01.012

D. J. Mcfarland, D. J. Krusienski, W. A. Sarnacki, and J. R. Wolpaw, Emulation of computer mouse control with a noninvasive brain???computer interface, Journal of Neural Engineering, vol.5, issue.2, pp.101-110, 2008.
DOI : 10.1088/1741-2560/5/2/001

S. Usui and I. Amidror, Digital Low-Pass Differentiation for Biological Signal Processing, IEEE Transactions on Biomedical Engineering, vol.29, issue.10, pp.686-693, 1982.
DOI : 10.1109/TBME.1982.324861

A. O. Andrade, S. Nasuto, P. Kyberd, C. M. Sweeney-reed, and F. V. Kanijn, EMG signal filtering based on Empirical Mode Decomposition, Biomedical Signal Processing and Control, vol.1, issue.1, pp.44-55, 2006.
DOI : 10.1016/j.bspc.2006.03.003

P. Prakash, C. Salini, J. Tranquilli, D. Brown, and E. Clancy, Adaptive Whitening in Electromyogram Amplitude Estimation for Epoch-Based Applications, IEEE Transactions on Biomedical Engineering, vol.52, issue.2, pp.331-334, 2005.
DOI : 10.1109/TBME.2004.840498

L. Liu, P. Liu, E. Clancy, E. Scheme, and K. Englehart, Electromyogram Whitening for Improved Classification Accuracy in Upper Limb Prosthesis Control, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.21, issue.5, pp.1-1, 2013.
DOI : 10.1109/TNSRE.2013.2243470

K. Englehart and B. Hudgins, A robust, real-time control scheme for multifunction myoelectric control, IEEE Transactions on Biomedical Engineering, vol.50, issue.7, pp.848-854, 2003.
DOI : 10.1109/TBME.2003.813539

E. A. Clancy, E. L. Morin, and R. Merletti, Sampling, noise-reduction and amplitude estimation issues in surface electromyography, Journal of Electromyography and Kinesiology, vol.12, issue.1, pp.1-16, 2002.
DOI : 10.1016/S1050-6411(01)00033-5

A. O. Andrade, A. A. Pereira, C. G. Jr, and P. J. Kyberd, Mouse emulation based on facial electromyogram, Biomedical Signal Processing and Control, vol.8, issue.2, pp.142-152, 2013.
DOI : 10.1016/j.bspc.2012.09.001

S. Karlsson, J. Y. Yu, and M. Akay, Time-frequency analysis of myoelectric signals during dynamic contractions: a comparative study, IEEE Transactions on Biomedical Engineering, vol.47, issue.2, pp.228-266, 2000.
DOI : 10.1109/10.821766

D. Farina and R. Merletti, Comparison of algorithms for estimation of EMG variables during voluntary isometric contractions, Journal of Electromyography and Kinesiology, vol.10, issue.5, pp.337-349, 2000.
DOI : 10.1016/S1050-6411(00)00025-0

A. Rainoldi, C. Cescon, A. Bottin, R. Casale, and I. Caruso, Surface EMG alterations induced by underwater recording, Journal of Electromyography and Kinesiology, vol.14, issue.3, pp.325-331, 2004.
DOI : 10.1016/j.jelekin.2003.10.002

T. Felzer and B. Freisleben, HaWCoS, Proceedings of the fifth international ACM conference on Assistive technologies , Assets '02, pp.127-134, 2002.
DOI : 10.1145/638249.638273

A. O. Andrade, S. J. Nasuto, and P. Kyberd, Extraction of motor unit action potentials from electromyographic signals through generative topographic mapping, Journal of the Franklin Institute, vol.344, issue.3-4, pp.154-179, 2007.
DOI : 10.1016/j.jfranklin.2006.10.006

C. I. Christodoulou and C. S. Pattichis, Unsupervised pattern recognition for the classification of EMG signals, IEEE Transactions on Biomedical Engineering, vol.46, issue.2, pp.169-178, 1999.
DOI : 10.1109/10.740879

M. Nikolic, J. A. Sorensen, K. Dahl, and C. Krarup, Detailed analysis of motor unit activity, 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), pp.1257-1260, 1997.
DOI : 10.1109/IEMBS.1997.756600

J. R. Florestal, P. A. Mathieu, and A. Malanda, Automated decomposition of intramuscular electromyographic signals, IEEE Transactions on Biomedical Engineering, vol.53, issue.5, pp.832-839, 2006.
DOI : 10.1109/TBME.2005.863893

D. Farina and F. Negro, Accessing the Neural Drive to Muscle and Translation to Neurorehabilitation Technologies, IEEE Reviews in Biomedical Engineering, vol.5, pp.3-14, 2012.
DOI : 10.1109/RBME.2012.2183586

E. Bizzi, V. C. Cheung, A. Avella, P. Saltiel, and M. Tresch, Combining modules for movement, Brain Research Reviews, vol.57, issue.1, pp.125-133, 2008.
DOI : 10.1016/j.brainresrev.2007.08.004

C. G. Pinheiro and A. O. Andrade, The simulation of click and double-click through EMG signals, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1984.
DOI : 10.1109/EMBC.2012.6346345

D. Farina and C. Cescon, Concentric-ring electrode systems for noninvasive detection of single motor unit activity, IEEE Transactions on Biomedical Engineering, vol.48, issue.11, pp.1326-1334, 2001.
DOI : 10.1109/10.959328

A. O. Andrade, Decomposition and Analysis of Electromyographic Signals, 2005.

A. L. Siqueira, A. B. Soares, and A. O. Andrade, Avaliação dos métodos de segmentação de sinais EMG usando sinais sintéticos, XXIII Congresso Brasileiro de Engenharia Biomdica, pp.2076-2080, 2012.

B. Efron and R. Tibshirani, An introduction to the Bootstrap, 1993.
DOI : 10.1007/978-1-4899-4541-9

H. Abdi and L. J. Williams, Principal component analysis, Wiley Interdisciplinary Reviews: Computational Statistics, vol.1, issue.4, pp.433-459, 2010.
DOI : 10.1007/BF02288367

URL : https://hal.archives-ouvertes.fr/hal-01259094

A. O. Andrade, P. Kyberd, and S. J. Nasuto, The application of the Hilbert spectrum to the analysis of electromyographic signals, Information Sciences, vol.178, issue.9, pp.2176-2193, 2008.
DOI : 10.1016/j.ins.2007.12.013

P. J. Mesko, A. B. Eliades, C. Christ-libertin, and D. Shelestak, Use of Picture Communication Aids to Assess Pain Location in Pediatric Postoperative Patients, Journal of PeriAnesthesia Nursing, vol.26, issue.6, pp.395-404, 2011.
DOI : 10.1016/j.jopan.2011.09.006

Y. Kim, N. Doh, Y. Youm, and W. K. Chung, Development of Human-Mobile Communication System Using Electrooculogram Signals, IFAC Proceedings Volumes, vol.34, issue.4, pp.2160-2165, 2001.
DOI : 10.1016/S1474-6670(17)34303-3

H. Huang, P. Zhou, G. Li, and T. Kuiken, Spatial Filtering Improves EMG Classification Accuracy Following Targeted Muscle Reinnervation, Annals of Biomedical Engineering, vol.98, issue.9, pp.1849-1857, 2009.
DOI : 10.1080/10400435.1990.10132142

URL : http://europepmc.org/articles/pmc3027066?pdf=render

J. P. Van-vugt and J. G. Van-dijk, A convenient method to reduce crosstalk in surface EMG, Clinical Neurophysiology, vol.112, issue.4, pp.583-592, 2001.
DOI : 10.1016/S1388-2457(01)00482-5

R. Merletti, D. Farina, and M. Gazzoni, The linear electrode array: a useful tool with many applications, Journal of Electromyography and Kinesiology, vol.13, issue.1, pp.37-47, 2003.
DOI : 10.1016/S1050-6411(02)00082-2

M. Pozzo, A. Bottin, R. Ferrabone, and R. Merletti, Sixty-four channel wearable acquisition system for long-term surface electromyogram recording with electrode arrays, Medical & Biological Engineering & Computing, vol.28, issue.4, pp.455-466, 2004.
DOI : 10.1164/ajrccm/148.3.612

F. P. Schwartz and F. A. Nascimento, The conduction velocity as a muscular fatigue indicator during isokinetic contractions, 2010 Pan American Health Care Exchanges, pp.192-192, 2010.
DOI : 10.1109/PAHCE.2010.5474570