Saugat Bhattacharyya, Maureen Clerc, Mitsuhiro Hayashibe
"A Study on the Effect of Electrical Stimulation During Motor Imagery Learning in Brain-Computer Interfacing ", IEEE International Conference on Systems, Man, and Cybernetics, 2016.
Poulami Ghosh, Ankita Mazumder, Saugat Bhattacharyya, D.N. Tibarewala, Mitsuhiro Hayashibe
"Functional Connectivity Analysis of Motor Imagery EEG Signal for Brain-Computer Interfacing Application", IEEE EMBS International Conference on Neural Engineering, 2015.
Zhan Li, Mitsuhiro Hayashibe, David Andreu, David Guiraud
"Real-Time Closed-Loop FES Control of Muscle Activation with Evoked EMG Feedback", IEEE EMBS International Conference on Neural Engineering, 2015.
Roberto de Souza Baptista, Antonio Padilha Lanari Bo, Mitsuhiro Hayashibe
"Methodology for Automatic Movement Cycle Extraction Using Switching Linear Dynamic System", IEEE EMBS International Conference on Neural Engineering, 2015.
Alejandro Gonzalez, Philippe Fraisse, Mitsuhiro Hayashibe
"A Personalized Balance Measurement for Home-Based Rehabilitation", IEEE EMBS International Conference on Neural Engineering, 2015.
Marion Vincent, Francois Bonnetblanc, Mitsuhiro Hayashibe, Olivier Rossel, Benedicte Poulin-Charronnat, Duffau Hugues, David Guiraud
"Electrophysiological Effects of Direct Electrical Stimulations During Awake Brain Surgery: Methodological Considerations", IEEE EMBS International Conference on Neural Engineering, 2015.
Zhan Li (PhD, University of Montpellier2), "Real-time EMG-Feedback Torque Prediction and Muscle Activation Control toward New Modality in FES" (2011.10- 2014.12, since 1.3.2015 Assistant Professor at University of Electronic Science and Technology of China)
A. Gonzalez, P. Fraisse, M. Hayashibe
"Adaptive Interface for Personalized Center of Mass Self-identification in Home Rehabilitation", IEEE Sensors Journal, vol.15, no.5, pp.2814-2823, 2015. (doi:10.1109/JSEN.2014.2379431) (IF=1.9)
V. Bonnet, A. Gonzales, C. Azevedo-Coste, M. Hayashibe, S. Cotton, P. Fraisse
"Determination of subject specific whole-body centre of mass using the 3D Statically Equivalent Serial Chain", Gait & Posture, vol.41, no.1, pp.70-5, 2015. (doi:10.1016/j.gaitpost.2014.08.017)(IF=2.3)
A. Gonzalez, M. Hayashibe, V. Bonnet, P. Fraisse
"Whole Body Center of Mass Estimation with Portable Sensors: Using the Statically Equivalent Serial Chain and a Kinect", Sensors, vol.14, no.9, 16955-16971, 2014. (http://dx.doi.org/10.3390/s140916955) (IF=2.0)
Yacin Berranen (PhD, University of Montpellier2) 2011.10-On Going, "Volumetric musculoskeletal modeling and simulation"
Z. Li, D. Guiraud, M. Hayashibe
"Inverse Estimation of Multiple Muscle Activations from Joint Moment with Muscle Synergy Extraction", IEEE Journal of Biomedical and Health Informatics, vol.19, no.1, pp.64-73, 2015. (10.1109/JBHI.2014.2342274)
Z. Li, M. Hayashibe, C. Fattal, D. Guiraud
"Muscle Fatigue Tracking with Evoked EMG via Recurrent Neural Network: Toward Personalized Neuroprosthetics", IEEE Computational Intelligence Magazine, vol.9, no.2, pp.38-46, 2014. (10.1109/MCI.2014.2307224)(IF=4.6)
Y. Berranen, M. Hayashibe, B. Gilles, D. Guiraud
"3D Volumetric Muscle Modeling For Real-time Deformation Analysis With FEM", International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4863-4866, 2012.
Qin Zhang (PhD, University of Montpellier2), "Evoked EMG-based torque prediction for muscle fatigue tracking and closed-loop torque control in FES" (2009.1-2011.12, accepted for JSPS postdoc program, since 1.1.2013 Associate professor at the school of mechanical science and engineering, Huazhong University of Science and Technology)
Y. Berranen, M. Hayashibe, D. Guiraud, B. Gilles
"Real-time Muscle Deformation via Decoupled Modeling of Solid and Muscle Fiber Mechanics", International Conference of Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014.
Q. Zhang, M. Hayashibe, C. Azevedo-Coste
"Evoked Electromyography-Based Closed-Loop Torque Control in Functional Electrical Stimulation", IEEE Transactions on Biomedical Engineering, vol.60, no.8, pp.2299-2307, 2013. (IF=2.6)
M. Hayashibe, Q. Zhang, D. Guiraud, C. Fattal
"Evoked EMG based Torque Prediction under Muscle Fatigue in Implanted Neural Stimulation", Journal of Neural Engineering, vol.8, 064001,2011. (doi:10.1088/1741-2560/8/6/064001) (IF=3.84)
Q. Zhang, M. Hayashibe, P. Fraisse, D. Guiraud
"FES-Induced Torque Prediction with Evoked EMG Sensing for Muscle Fatigue Tracking", IEEE/ASME Transactions on Mechatronics, Focused Section on Biosignal sensing, vol.16, no.5, pp.816-826, 2011. (IF=2.87)
Roberto Baptista, PhD internship bourse d'etudes du Gouvernement Bresilien, Fondation Capes (1.5.2014-30.4.2015), Universidade de Brasilia (UnB), Brasil "Framework for Automatic Assessment of Human Motion for Rehabilitation", On Going study, Supervisor: Antonio Bo
Sourav Chandra, Svaagata.eu: experience Europe as an Indian Erasmus Mundus, PhD internship (1.1.2013-28.2.2014), Indian Institute of Technology Madras, India "Dynamic modeling of fatigue induced hand tremor", On Going study, Supervisor: T. Asokan
Maria Papaiordanidou, PhD (University of Montpellier I, EDM UFR STAPS, France) "Nature peripherique et centrale de la fatigue musculaire", Oct 2010, Encadrement : D. Guiraud , A. Varray
S. Chandra, M. Hayashibe, A. Thondiyath
"Dominant Component in Muscle Fatigue Induced Hand Tremor during Laparoscopic Surgical Manipulation", International Conference of the IEEE Engineering in Medicine and Biology Society, pp.xx-xx, 2014. (accepted)
Mourad Benoussaad, PhD (University of Montpellier II, Department of Robotics LIRMM, France) "Identification protocol under FES and stimulation patterns synthesis for rehabilitation in spinal cord injured subject", Dec 2009, Encadrement : P. Poignet, D. Guiraud
accepted for JSPS postdoc program
Peng Yao (INRIA Master Internship, Shanghai Jiao Tong University) 2011.9-11. "Rehabilitation technology for patients with pathological tremor"
Yacine Berranen (Master2 EEA, University of Montpellier2) 2011.3-8, "Analyse des deformations de tissus mous actifs et passifs"
Yacine Berranen (Master1 EEA, University of Montpellier2) 2010.4-7, "Modelisation du muscle electriquement stimule pour le calcul en ligne"
Floor Campfens (ERASMUS Master Internship, University of Twente, Netherlands) 2008.2-2008.6
Maxime Tournier (ANR SoHuSim project) 2012.1-2013.9, "Physically-based animation" (currently with RIKEN Brain Science Institute and TOYOTA Collaboration Center)
Please contact me if you are interested in PhD candidate or Master Internship. I am available to apply for ERASMUS Student Mobility for Placements Program for European students.
The objective of this software is to realize a personalized evaluation of the postural balance to be used in
home-based rehabilitation, by using portable sensors such as Kinect and wii board. After the one time of
identification, the system provide us the personalized estimation of the center of mass (CoM) for the whole
body only with Kinect information, through Statically Equivalent Serial Chain method.
The first function is the adaptive identification interface for the CoM parameters based on Kalman filter
which allows a subject to provide different postures interactively with minimized time length. The second
function is the balance measure visualization (stable or instable) based on the identified model for each subject
considering subject-specific body differences on the segment mass distribution.
Recently, this software was demonstrated at the event of Rencontre Inria-Industrie 13/10/2015 at Bordeaux.
It is also filed at Software Catalogue of Inria.
PersoBalance is registered with the Agency for the Protection of Programs (APP) and deposited at the BNF (Bibliotheque Nationale de France). Its registration number is Antepedia Deposit 20150710154654.
A. Gonzalez, P. Fraisse, M. Hayashibe, "Adaptive Interface for Personalized Center of Mass Self-identification in Home Rehabilitation", IEEE Sensors Journal, vol.15, no.5, pp.2814-2823, 2015. (doi:10.1109/JSEN.2014.2379431)
[published in MICCAI2014] This paper presents a novel approach for simulating 3D muscle deformations with complex architectures. The approach consists in choosing the best model formulation in terms of computation cost and accuracy, that mixes a volumetric tissue model based on finite element method (3D FEM), a muscle fiber model (Hill contractile 1D element) and a membrane model accounting for aponeurosis tissue (2D FEM). The separate models are mechanically binded using barycentric embeddings. Our approach allows the computation of several fiber directions in one coarse finite element, and thus, strongly decreases the required finite element resolution to predict muscle deformation during contraction. Using surface registration, fibers tracks of specific architecture can be transferred from a template to subject morphology, and then simulated. As a case study, three different architectures are simulated and compared to their equivalent one dimensional Hill wire model simulations.
Tele-rehabilitation platform for gait training in intercontinental circumstances is developed under STIC-AmSud program. This CARAT (Computer Aided Rehabilitation Algorithms and Tools) project was joint program 2012-2013 among INRIA France, UnB (University of Brasilia) and PCUP (Pontifical Catholic University of Peru) for tele-rehabilitation framework. This system has two mode: Self-modulation control and Guidance control mode. Guidance control can be performed both with local data transmission and intercontinental data transmission.
[published in ICRA2013] To estimate the subject-specific CoM position in the home environment, we make use of a statically equivalent serial chain (SESC) developed with a portable measurement system.In this paper we implement a constrained Kalman filter to achieve an online estimation of the SESC parameters while accounting for the human body's bilateral symmetry. This results in constraining SESC parameters to be consistent with the human skeletal model used. The proposed identification method can inform the subject or the therapist, in real-time, about the quality of the on-going CoM estimation.
[published in IROS2012] Estimation of a subject's center of mass (CoM) is important for the assessment of unsupported, stable standing. A portable, in-home estimation of CoM can be used as a rehabilitation tool and could be achieved using a Microsoft's Kinect with statically equivalent serial chains (SESC). This framework makes it feasible to perform subjectspecific center of mass estimation in the home environment.
[published in EMBC2012] This video illustrates first trials which implemented Real-time Volumetric Skeletal Muscle Deformation. The idea is making more realistic musculoskeletal simulation from the current approximation of muscle model as wire element to physically and functionally detailed simulation as volumetric element.
[published in EMBC2011] This video illustrates first trials which explored the combined use of inertial sensors and Kinect to estimate joint motion for rehabilitation applications. This integration has indeed a great potential due to the complimentary roles both sensing systems feature. In this particular video, accelerometers and gyrometers are used to estimate joint angle, while the Kinect is used for initializing the inertial system and for enabling 3D visualization of the performed task.
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