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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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期刊全称Biomechatronics in Medical Rehabilitation
期刊简称Biomodelling, Interf
影响因子2023Shane (S.Q.) Xie,Wei Meng
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发行地址Presents 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
图书封面Titlebook: Biomechatronics in Medical Rehabilitation; Biomodelling, Interf Shane (S.Q.) Xie,Wei Meng Book 2017 Springer International Publishing AG 20
影响因子This book focuses on the key technologies in developing biomechatronic systems for medical rehabilitation purposes. It includes a detailed analysis of biosignal processing, biomechanics modelling, neural and muscular interfaces, artificial actuators, robot-assisted training, clinical setup/implementation and rehabilitation robot control..Encompassing highly multidisciplinary themes in the engineering and medical fields, it presents researchers’ insights into the emerging technologies and developments that are being utilized in biomechatronics for medical purposes..Presenting a detailed analysis of five key areas in rehabilitation robotics: (i) biosignal processing; (ii) biomechanics modelling; (iii) neural and muscular interfaces; (iv) artificial actuators and devices; and (v) the use of neurological and muscular interfaces in rehabilitation robots control, the book describes the design of biomechatronic systems, the methods and control systems used and the implementation and testing in order to show how they fulfil the needs of that specific area of rehabilitation. Providing a comprehensive overview of the background of biomechatronics and details of new advances in the field, it
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SSVEP-Based BCI for Lower Limb Rehabilitation,, this chapter is the first to demonstrate an online asynchronous analogue SSVEP-based BCI for lower limb rehabilitation in which the movement of a robotic exoskeleton is continuously controlled by the user’s intent. Such patient participation has proved to be one of the most important factors for r
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Exoskeleton Control Based on Neural Interface,n’s movement intention, but here the upper limb exoskeleton interprets its user’s intention with a combination of surface EMG signals and wrist force measurements. Two types of human-robot interaction approaches were used, one was the sEMG-based interface controller, and the other was the impedance-
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Conclusions and Future Prospects,als 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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