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Titlebook: Biomechatronics in Medical Rehabilitation; Biomodelling, Interf Shane (S.Q.) Xie,Wei Meng Book 2017 Springer International Publishing AG 20

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楼主: 习惯
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Yezeña Huaypar,Luisa Vetter,Jorge Bravoskeletal model serve as control inputs to control antagonistic air muscles. The PMFE is an anatomy-based inverse dynamic-static optimisation model aiming to fulfil the requirements for controlling a human-inspired rehabilitation robot via muscle forces. It is targeted at providing real-time force as
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C. Larica,R. C. Mercader,J. R. GancedoReal-time calculation of this model is plausible because of its dynamic calculation optimisation algorithm and minimum set of patient-specific parameters, which are based on the results of a sensitivity analysis. Simulation results show that the PENm can predict accurate joint moments in real-time b
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J. Desimoni,C.P. Ramos,R.C. Mercaderals processing, biomechanics modelling, neural and muscular interfaces, robot-assisted training, clinical implementation, and rehabilitation robot control. This chapter summarises the main outcomes and conclusions of this book, as well as highlight the contributions made by the authors. This chapter
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978-3-319-85007-8Springer International Publishing AG 2017
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https://doi.org/10.1007/978-3-662-04687-6d to be comprised of two rigid body components (the upper arm, and the forearm and hand). Elbow flexion/extension motion is modelled by the ulna rotating about a friction hinge joint where it meets the humerus.
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Shane (S.Q.) Xie,Wei MengPresents insights into the emerging technologies and developments in biomechatronics that provide better clinical rehabilitation services.Features a detailed analysis of five key areas in rehabilitati
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EMG-Driven Physiological Model for Upper Limb,d to be comprised of two rigid body components (the upper arm, and the forearm and hand). Elbow flexion/extension motion is modelled by the ulna rotating about a friction hinge joint where it meets the humerus.
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