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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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31#
發(fā)表于 2025-3-27 01:00:34 | 只看該作者
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 978-3-319-85007-8978-3-319-52884-7
32#
發(fā)表于 2025-3-27 01:57:07 | 只看該作者
33#
發(fā)表于 2025-3-27 06:22:17 | 只看該作者
34#
發(fā)表于 2025-3-27 12:38:40 | 只看該作者
35#
發(fā)表于 2025-3-27 16:21:43 | 只看該作者
https://doi.org/10.1007/3-540-76074-1ements and development complications were identified and the various approaches used in past interfaces were reviewed. The review begins with a survey of existing biological interfaces designed for use in human assistance and treatment. An overview of EEG and EMG based biomechanical models is also p
36#
發(fā)表于 2025-3-27 19:15:21 | 只看該作者
37#
發(fā)表于 2025-3-28 01:02:30 | 只看該作者
https://doi.org/10.1007/3-540-76074-1, 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
38#
發(fā)表于 2025-3-28 02:36:55 | 只看該作者
39#
發(fā)表于 2025-3-28 10:02:44 | 只看該作者
40#
發(fā)表于 2025-3-28 12:31:30 | 只看該作者
https://doi.org/10.1007/978-3-662-04687-6n’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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