Muscle Strength and Mass Distribution Identication
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Yoshihiko Nakamura | Mitsuhiro Hayashibe | Ko Ayusawa | M. Hayashibe | K. Ayusawa | Yoshihiko Nakamura
[1] D. Guiraud,et al. FES-Induced Torque Prediction With Evoked EMG Sensing for Muscle Fatigue Tracking , 2011, IEEE/ASME Transactions on Mechatronics.
[2] Gentiane Venture,et al. Real-time implementation of physically consistent identification of human body segments , 2011, 2011 IEEE International Conference on Robotics and Automation.
[3] Philippe Poignet,et al. Nonlinear identification method corresponding to muscle property variation in FES - experiments in paraplegic patients , 2010, 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.
[4] Gentiane Venture,et al. Real-time identification and visualization of human segment parameters , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[5] Katsu Yamane,et al. Computationally fast estimation of muscle tension for realtime Bio-feedback , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[6] Ayman Habib,et al. OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement , 2007, IEEE Transactions on Biomedical Engineering.
[7] Francesco Lacquaniti,et al. Modular Control of Limb Movements during Human Locomotion , 2007, The Journal of Neuroscience.
[8] Katsu Yamane,et al. Estimation of Physically and Physiologically Valid Somatosensory Information , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.
[9] Y. Nakamura,et al. Somatosensory computation for man-machine interface from motion-capture data and musculoskeletal human model , 2005, IEEE Transactions on Robotics.
[10] David G Lloyd,et al. Neuromusculoskeletal modeling: estimation of muscle forces and joint moments and movements from measurements of neural command. , 2004, Journal of applied biomechanics.
[11] D. Lloyd,et al. An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo. , 2003, Journal of biomechanics.
[12] Wisama Khalil,et al. Modeling, Identification and Control of Robots , 2003 .
[13] Scott L. Delp,et al. A computational framework for simulating and analyzing human and animal movement , 2000, Comput. Sci. Eng..
[14] Sybert H. Stroeve,et al. Impedance characteristics of a neuromusculoskeletal model of the human arm I. Posture control , 1999, Biological Cybernetics.
[15] P. Leva. Adjustments to Zatsiorsky-Seluyanov's segment inertia parameters. , 1996 .
[16] Thomas A. McMahon,et al. Muscles, Reflexes, and Locomotion , 1984 .
[17] A. Hill. The heat of shortening and the dynamic constants of muscle , 1938 .
[18] Massimo Sartori,et al. An EMG-driven musculoskeletal model of the human lower limb for the estimation of muscle forces and moments at the hip, knee and ankle joints in vivo , 2010, Humanoids 2010.
[19] R. Norman,et al. Mechanically corrected EMG for the continuous estimation of erector spinae muscle loading during repetitive lifting , 2004, European Journal of Applied Physiology and Occupational Physiology.
[20] Masaru Uchiyama,et al. Moving Base Robotics and Reaction Management Control , 1996 .
[21] F. Zajac. Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control. , 1989, Critical reviews in biomedical engineering.