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Eric LE CARPENTIER

ENSEIGNANT-CHERCHEUR

: Eric.Le-Carpentieratls2n.fr

Adresse :

Centrale Nantes ( CN )
Petit Port
1, rue de la Noë
BP 92101
44321 NANTES Cedex 3

Batiment S, étage 5, bureau 519

Publications référencées sur HAL

Revues internationales avec comité de lecture (ART_INT)

[1] E. Scharbarg, J. Greck, E. Le Carpentier, L. Chaillous, C. Moog. A metamodel-based flexible insulin therapy for type 1 diabetes patients subjected to aerobic physical activity. In Scientific Reports ; éd. Nature Publishing Group, 2022.
https://hal.science/hal-03670164

[2] T. Yu, K. Akhmadeev, E. Le Carpentier, Y. Aoustin, D. Farina. Highly accurate real-time decomposition of single channel intramuscular EMG(minor revison). In IEEE Transactions on Biomedical Engineering ; éd. Institute of Electrical and Electronics Engineers, 2022, vol. 69, num. 2.
https://hal.science/hal-03544788

[3] T. Yu, K. Akhmadeev, E. Le Carpentier, Y. Aoustin, D. Farina. Highly accurate real-time decomposition of single channel intramuscular EMG. In IEEE Transactions on Biomedical Engineering ; éd. Institute of Electrical and Electronics Engineers, 2021.
https://hal.science/hal-03353977

[4] K. Akhmadeev, T. Yu, �. Le Carpentier, Y. Aoustin, D. Farina. Simulation of motor unit action potential recordings from intramuscular multichannel scanning electrodes. In IEEE Transactions on Biomedical Engineering ; éd. Institute of Electrical and Electronics Engineers, 2020, vol. 67, num. 7.
https://hal.science/hal-02362499

[5] E. Scharbarg, C. Califano, E. Le Carpentier, C. Moog. Practical identification of a glucose-insulin dynamics model. In 21st IFAC World Congress, juillet 2020, Berlin, Allemagne.In IFAC-PapersOnLine ; éd. Elsevier, 2020, vol. 53, num. 2.
https://hal.science/hal-02496304

[6] T. Yu, K. Akhmadeev, �. Le Carpentier, Y. Aoustin, R. Gross, Y. Péréon, D. Farina. Recursive decomposition of electromyographic signals with a varying number of active sources: Bayesian modelling and filtering. In IEEE Transactions on Biomedical Engineering ; éd. Institute of Electrical and Electronics Engineers, 2019.
https://hal.science/hal-02362477

[7] F. Hug, C. Vogel, K. Tucker, S. Dorel, T. Deschamps, �. Le Carpentier, L. Lacourpaille. Individuals have unique muscle activation signatures as revealed during gait and pedaling. In Journal of Applied Physiology ; éd. American Physiological Society, 2019, vol. 127, num. 4.
https://hal.science/hal-03563380

[8] T. Yu, K. Akhmadeev, �. Le Carpentier, Y. Aoustin, D. Farina. On-line recursive decomposition of intramuscular EMG signals using GPU-implemented Bayesian filtering. In IEEE Transactions on Biomedical Engineering ; éd. Institute of Electrical and Electronics Engineers, 2019, vol. 67, num. 6.
https://hal.science/hal-02362489

[9] M. Abid, V. Renaudin, Y. Aoustin, E. Le Carpentier, T. Robert. Walking gait step length asymmetry induced by handheld device. In IEEE Transactions on Neural Systems and Rehabilitation Engineering ; éd. IEEE Institute of Electrical and Electronics Engineers, 2017, vol. 25, num. 11.
https://hal.science/hal-01623521v2

[10] N. Magdelaine, L. Chaillous, I. Guilhem, J. Poirier, F. Anne-Laure, M. Krempf, C. Moog, E. Le Carpentier. A Relevant Glucose-Insulin Model: Validation using Clinical Data. In Diabetes Technology and Therapeutics ; éd. Mary Ann Liebert, 2016, vol. 18(S1).
https://hal.science/hal-01277046

[11] N. Magdelaine, L. Chaillous, I. Guilhem, J. Poirier, M. Krempf, C. Moog, �. Le Carpentier. A relevant glucose-insulin dynamics model for type 1 diabetes. In Diabetes Technology and Therapeutics ; éd. Mary Ann Liebert, 2015, vol. 17 (S1).
https://hal.science/hal-01509805

[12] N. Magdelaine, L. Chaillous, I. Guilhem, J. Poirier, M. Krempf, C. Moog, E. Le Carpentier. A Long-term Model of the Glucose-Insulin Dynamics of Type 1 Diabetes. In IEEE Transactions on Biomedical Engineering ; éd. Institute of Electrical and Electronics Engineers, 2015, vol. 62, num. 6.
https://hal.science/hal-01103022

[13] J. Monsifrot, E. Le Carpentier, Y. Aoustin, D. Farina. Sequential Decoding of Intramuscular EMG Signals via Estimation of a Markov Model. In IEEE Transactions on Neural Systems and Rehabilitation Engineering ; éd. IEEE Institute of Electrical and Electronics Engineers, 2014, vol. 22, num. 5.
https://hal.science/hal-01024878

[14] D. Ge, J. Idier, �. Le Carpentier. Enhanced sampling schemes for MCMC based blind Bernoulli-Gaussian deconvolution. In Signal Processing ; éd. Elsevier, 2011, vol. 91, num. 4.
https://hal.science/hal-00517861

[15] D. Ge, E. Le Carpentier, J. Idier, D. Farina. Spike sorting by stochastic simulation.. In IEEE Transactions on Neural Systems and Rehabilitation Engineering ; éd. IEEE Institute of Electrical and Electronics Engineers, 2011, vol. 19, num. 3.
https://inserm.hal.science/inserm-00954647

[16] D. Ge, E. Le Carpentier, D. Farina. Unsupervised Bayesian decomposition of multiunit EMG recordings using Tabu search.. In IEEE Transactions on Biomedical Engineering ; éd. Institute of Electrical and Electronics Engineers, 2010, vol. 57, num. 3.
https://inserm.hal.science/inserm-00954651

Conférences internationales avec comité de lecture et actes (COMM_INT)

[17] O. Bordron, C. Huneau, �. Le Carpentier, Y. Aoustin. Joint torque estimation during a squat motion. In Congrès Français de Mécanique (Brest), août 2019, Brest, France.
https://hal.science/hal-02362513

[18] O. Bordron, Y. Aoustin, C. Huneau, E. Le Carpentier. Contribution of a Knee Orthosis to Walking. In Challenges and trends in Wearable Robotics, 2018, Pisa, Italie.
https://hal.science/hal-01985279

[19] N. Magdelaine, E. Scharbarg, L. Chaillous, C. Moog, E. Le Carpentier. Clinical assessment of a new biomatical model for decision making in functional insulin therapy. In 11th European Conference on Mathematical and Theoretical Biology, juillet 2018, Lisbonne, Portugal.
https://hal.science/hal-01818878

[20] F. Mars, A. Ameyoe, P. Chevrel, E. Le Carpentier, H. Illy. Estimating in-vehicle distraction through a driver model. In 20th Congress of the International Ergonomics Association, août 2018, Florence, Italie.
https://hal.science/hal-01954399

[21] M. Abid, V. Renaudin, T. Robert, Y. Aoustin, E. Le Carpentier. A Simulation-based Approach to Generate Walking Gait Accelerations for Pedestrian Navigation Solutions. In 9th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2018), septembre 2018, Nantes, France.
https://hal.science/hal-01997361

[22] F. Mars, A. Ameyoe, P. Chevrel, E. Le Carpentier, H. Illy. Analysis of a driver model sensitivity to various types of distraction. In 5th International Conference on Driver Distraction and Inattention, mars 2017, Paris, France.
https://hal.science/hal-01492034

[23] K. Akhmadeev, E. Rampone, T. Yu, Y. Aoustin, �. Le Carpentier. A real-time gesture classification using surface EMG to control a robotics hand. In ENOC 2017, juin 2017, Budapest, Hongrie.
https://hal.science/hal-01707679

[24] K. Akhmadeev, E. Rampone, T. Yu, Y. Aoustin, E. Le Carpentier. A testing system for a real-time gesture classification using surface EMG. In The 20th World Congress of the International Federation of Automatic Control, juillet 2017, Toulouse, France.
https://hal.science/hal-01491572

[25] M. Abid, V. Renaudin, T. Robert, Y. Aoustin, E. Le Carpentier. A human-like walking gait simulator for estimation of selected gait parameters. In 14th Workshop on Positioning, Navigation and Communications (WPNC), octobre 2017, Bremen, Allemagne.
https://hal.science/hal-01688770

[26] M. Abid, V. Renaudin, T. Robert, Y. Aoustin, E. Le-Carpentier. A Human-like Walking Gait Simulator for Pedestrian Dead Reckoning Navigation. In 2017 14th Workshop on Positioning, Navigation and Communications (WPNC), octobre 2017, Bremen, Allemagne.
https://hal.science/hal-01997337

[27] A. Ameyoe, F. Mars, P. Chevrel, E. Le Carpentier, H. Illy. Estimation of Driver Distraction Using the Prediction Error of a Cybernetic Driver Model. In Driving Simulation Conference and Exhibition, DSC'2015, septembre 2015, Tübingen, Allemagne.
https://hal.science/hal-01164330

[28] A. Ameyoe, P. Chevrel, E. Le Carpentier, F. Mars, H. Illy. Identification of a Linear Parameter Varying Driver Model for the Detection of Distraction. In 1st IFAC Workshop on Linear Parameter Varying systems, octobre 2015, Grenoble, France.
https://hal.science/hal-01164323

[29] E. Le Carpentier, Y. Aoustin, J. Monsifrot, D. Farina. Online Intramuscular EMG Decomposition with Varying Number of Active Motor Units. In International Conference on NeuroRehabilitation (Replace, Repair, Restore, Relieve - Bridging Clinical and Engineering Solutions in Neurorehabilitation), juin 2014, Aalborg.
https://hal.science/hal-01074903

[30] J. Monsifrot, �. Le Carpentier, Y. Aoustin, D. Farina. Online estimation of EMG signals model based on a renewal process. In IEEE International Conference on Acoustics, Speech, and Signal Processing, mai 2013, Vancouver, Canada.
https://hal.science/hal-00812591

[31] J. Monsifrot, �. Le Carpentier, Y. Aoustin. Modélisation de trains d'impulsions à l'aide d'une loi de Weibull discrète. Estimation hors-ligne et séquentielle des paramètres. In 24e colloque GRETSI sur le traitement du signal et des images, septembre 2013, Brest, France.
https://hal.science/hal-00830055

[32] R. Hage, D. Bétaille, E. Le Carpentier, F. Peyret, D. Meizel. Link travel time estimation in urban areas by detectors and probe vehicles fusion. In 2nd International Conference on Models and Technologies for ITS, juin 2011, Leuven, Belgique.
https://hal.science/hal-04490823

[33] E. Le Carpentier. Filtrage bayésien avec rétroaction. Conséquences sur le filtrage particulaire. In 23e colloque GRETSI sur le traitement du signal et des images, septembre 2011, Bordeaux, France.
https://hal.science/hal-00670263

[34] J. Monsifrot, E. Le Carpentier, D. Farina, Y. Aoustin. Sequential estimation of intramuscular EMG model parameters for prosthesis control. In IEEE/RSJ International Conference on Intelligent Robots and Systems, Workshop on Robotics for Neurology and Rehabilitation, septembre 2011, San Francisco, Ca.
https://hal.science/hal-00670265

[35] D. Ge, E. Le Carpentier. MCMC pour la décomposition automatique de signal EMG. In GRETSI, 2009, Dijon, France.
https://hal.science/hal-00456188

[36] D. Ge, �. Le Carpentier, D. Farina, J. Idier. Unsupervised Bayesian EMG decomposition algorithm using tabu search. In ISABEL, 2008, , France.
https://hal.science/hal-00456194

[37] D. Ge, J. Idier, E. Le Carpentier. A new MCMC algorithm for blind Bernoulli-Gaussian deconvolution. In EUSIPCO, août 2008, Lausanne, Suisse.
https://hal.science/hal-00408653

[38] D. Ge, �. Le Carpentier, J. Idier. Deconvolution strategies allowing more stable solutions. In IAR annual meeting, 2007, Grenoble, France.
https://hal.science/hal-00456190

[39] �. Le Carpentier. Séparation d'un mélange sous-déterminé de sources par simulation stochastique. In GRETSI, septembre 2005, Louvain la Neuve, Belgique.
https://hal.science/hal-00456195

[40] E. Vincent, C. Févotte, R. Gribonval, L. Benaroya, X. Rodet, A. Röbel, E. Le Carpentier, F. Bimbot. A tentative typology of audio source separation tasks. In 4th Int. Symp. on Independent Component Analysis and Blind Signal Separation (ICA), avril 2003, Nara, Japon.
https://inria.hal.science/inria-00544239

Conférences nationales avec comité de lecture et actes (COMM_NAT)

[41] T. Yu, K. Akhmadeev, E. Le Carpentier, Y. Aoustin. Towards sequential decoding of intramuscular EMG signals: Parallel computing implementation. In GRETSI, septembre 2017, Juan-les-pins, France.
https://hal.science/hal-01677309

[42] S. Kumar, V. Renaudin, Y. Aoustin, E. Le Carpentier, C. Combettes. Model - based and Experimental Analysis of the Symmetry in Human Walking in Different Device Carrying Modes. In BioRob 2016, 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, juin 2016, SINGAPOUR, Singapour.
https://hal.science/hal-01357279

[43] A. Selloum, D. Betaille, E. Le Carpentier, F. Peyret. Robustification of a map aided location process using road direction. In 13th International IEEE Annual Conference on Intelligent Transportation Systems, septembre 2010, , Portugal.
https://hal.science/hal-00919689

[44] A. Sellom, D. Betaille, E. Le Carpentier, F. Peyret. 2D Vehicle Localisation using an Enhanced Map. In Accurate localization for land transportation Workshop, juin 2009, , France.
https://hal.science/hal-00919792

[45] A. Selloum, E. Le Carpentier, D. Betaille, F. Peyret. Localisation 2D d’un mobile sur une carte numérique précise. In GRETSI 2009, septembre 2009, , France.
https://hal.science/hal-00919756

[46] A. Selloum, D. Betaille, E. Le Carpentier, F. Peyret. Lane-Level Positioning using Particle Filtering. In 12th International IEEE Conference on Intelligent Transportation Systems, octobre 2009, , France.
https://hal.science/hal-00919678

[47] E. Vincent, C. Févotte, R. Gribonval, L. Benaroya, X. Rodet, A. Röbel, E. Le Carpentier, F. Bimbot. Comment évaluer les algorithmes de séparation de sources audio ?. In 19e colloque GRETSI sur le traitement du signal et des images, septembre 2003, Paris, France.
https://inria.hal.science/inria-00544248

Brevets (BRE)

[48] H. Illy, A. Ameyoe, P. Chevrel, E. Le Carpentier, F. Mars. Procédé de détermination d'un niveau d'attention d'un conducteur d'un véhicule automobile et méthode de stimulation de l'attention d'un conducteur d'un véhicule automobile. N° brevet : FR3040231 / WO2017029443.
https://hal.science/hal-01730937

[49] H. Illy, A. Ameyoe, P. Chevrel, F. Mars, E. Le Carpentier. Procédé de détermination d’un niveau d’attention d’un conducteur d’un véhicule automobile et méthode de stimulation de l’attention d’un conducteur d’un véhicule automobile. N° brevet : WO2017029444 (A1).
https://hal.science/hal-01562653

[50] H. Illy, A. Ameyoe, P. Chevrel, F. Mars, E. Le Carpentier. Procédé et dispositif de détection d'un changement de comportement de conducteur d'un véhicule automobile. N° brevet : FR3032919 / WO2016/132032.
https://hal.science/hal-01307359

Ouvrages - Chapitres d‘ouvrages et directions d‘ouvrages (OUV)

[51] O. Bordron, C. Huneau, E. Le Carpentier, Y. Aoustin. Human squat motion: joint torques estimation with a 3D model and a sagittal model. In New trends in medical and service robotics (Springer). 11-11-2020
https://hal.science/hal-03000335

[52] A. Gallard, K. Akhmadeev, �. Le Carpentier, R. Gross, Y. Péréon, Y. Aoustin. Automatic classification of intramuscular EMG to recognize pathologies.. In Advanced Structured Materials. 04-11-2019
https://hal.science/hal-02362458

[53] O. Bordron, C. Huneau, E. Le Carpentier, Y. Aoustin. Impact of a knee orthosis over walking. In ROMANSY 22 – Robot Design, Dynamics and Control. CISM International Centre for Mechanical Sciences (Courses and Lectures), vol 584. Springer, Cham. 2018
https://hal.science/hal-01985287

[54] E. Matheson, Y. Aoustin, E. Le Carpentier, A. Léon, J. Perrin. Anthropomorphic Underactuated Hand with 15 Joints. In New Trends in Medical and Service Robots. 21-04-2016
https://hal.science/hal-02594310

[55] �. Le Carpentier. 2. Digital Signal Processing. In Digital Spectral Analysis. 2011
https://hal.science/hal-00670386

[56] �. Le Carpentier. 5. Non-parametric methods. In Digital Spectral Analysis. 2011
https://hal.science/hal-00670388

Autres publications (AUTRES)

[57] T. Delumeau, C. Plot, E. Le Carpentier, P. Mousseau. Light reflection-based system for spin measurement of table tennis balls. In ECSS 2023, juillet 2023, Paris, France.
https://hal.science/hal-04557947

[58] E. Le Carpentier, Y. Aoustin, K. Akhmadeev, T. Yu, Y. Pereon, R. Gross, A. Sarcher, A. Magot. MODERATO : MOdélisation et Décomposition des EMG pour la Reconnaissance et l'Assistance aux Troubles neurOmusculaires.
https://hal.science/hal-02594470

[59] E. Le Carpentier, Y. Aoustin. Evaluation de la performance musculaire avec traitement de signal EMG spécifique.
https://hal.science/hal-02594499

[60] K. Akhmadeev, E. Le Carpentier. Commande d'une main robotique.
https://hal.science/hal-02594552

[61] T. Yu, K. Akhmadeev, Y. Aoustin, E. Le Carpentier. Commande EMG d'une main robotique.
https://hal.science/hal-02594530

[62] E. Le Carpentier, Y. Aoustin. Une main bionique commandée par les muscles.
https://hal.science/hal-02594576

[63] A. Ameyoe, P. Chevrel, E. Le Carpentier, H. Illy. Estimation de l’état du conducteur pour la détection de distraction.
https://hal.science/hal-01317989

[64] N. Magdelaine, L. Chaillous, I. Guilhem, J. Poirier, M. Krempf, F. Anne-Laure, C. Moog, E. Le Carpentier. A Relevant Glucose-Insulin Model: Validation using Clinical Data. In ATTD 2016; 9th International Conference on Advanced Technologies & Treatments of Diabetes, Feb 2016, Milan, Italy., février 2016, Milano, Italie.
https://hal.science/hal-01264635

[65] E. Le Carpentier. Online Decoding of Intramuscular EMG.
https://hal.science/hal-02594377

[66] N. Magdelaine, L. Chaillous, I. Guilhem, J. Poirier, M. Krempf, C. Moog, E. Le Carpentier. A relevant glucose-insulin dynamics model for type 1 diabetes. In ATTD 2015; 8th International Conference on Advanced Technologies & Treatments of Diabetes, février 2015, Paris, France.
https://hal.science/hal-01097526

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