標(biāo)題: Titlebook: Biomechatronics in Medical Rehabilitation; Biomodelling, Interf Shane (S.Q.) Xie,Wei Meng Book 2017 Springer International Publishing AG 20 [打印本頁] 作者: 習(xí)慣 時間: 2025-3-21 16:27
書目名稱Biomechatronics in Medical Rehabilitation影響因子(影響力)
書目名稱Biomechatronics in Medical Rehabilitation影響因子(影響力)學(xué)科排名
書目名稱Biomechatronics in Medical Rehabilitation網(wǎng)絡(luò)公開度
書目名稱Biomechatronics in Medical Rehabilitation網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Biomechatronics in Medical Rehabilitation被引頻次
書目名稱Biomechatronics in Medical Rehabilitation被引頻次學(xué)科排名
書目名稱Biomechatronics in Medical Rehabilitation年度引用
書目名稱Biomechatronics in Medical Rehabilitation年度引用學(xué)科排名
書目名稱Biomechatronics in Medical Rehabilitation讀者反饋
書目名稱Biomechatronics in Medical Rehabilitation讀者反饋學(xué)科排名
作者: 脾氣暴躁的人 時間: 2025-3-21 21:23 作者: Fracture 時間: 2025-3-22 02:47 作者: CLIFF 時間: 2025-3-22 05:54
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作者: Intruder 時間: 2025-3-22 09:59 作者: 逃避系列單詞 時間: 2025-3-22 15:58 作者: 隨意 時間: 2025-3-22 17:49
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-作者: LUCY 時間: 2025-3-23 01:16 作者: 詞根詞綴法 時間: 2025-3-23 03:57 作者: 殖民地 時間: 2025-3-23 07:49
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作者: SUGAR 時間: 2025-3-23 09:52 作者: thwart 時間: 2025-3-23 14:21 作者: Complement 時間: 2025-3-23 22:06
State of the Art,rovided. This is followed by a review of the state-of-the-art in biomechanical model-based control strategies, with primary focus on its application to rehabilitation robots. Finally, the reviewed materials are discussed to highlight issues in biomechanics that require further work, and are hence the subject of investigation for this research.作者: 強(qiáng)有力 時間: 2025-3-24 02:04
Neuromuscular Model for Gait Rehabilitation,ased on only two EMG channels, one from the extensor and one from the flexor muscle, and the minimum set of adjustable parameters. The design of advanced human-robot interaction control strategies and human-inspired gait rehabilitation robots can also benefit from the information provided by the PENm.作者: Condescending 時間: 2025-3-24 06:08 作者: EVEN 時間: 2025-3-24 06:36 作者: Needlework 時間: 2025-3-24 13:06
https://doi.org/10.1007/978-3-662-04687-6measurements. Two types of human-robot interaction approaches were used, one was the sEMG-based interface controller, and the other was the impedance-based interface controller. This chapter also presents an interface based on human sEMG and a physiological musculoskeletal model for human upper limb movements.作者: SEEK 時間: 2025-3-24 16:44
Yeze?a Huaypar,Luisa Vetter,Jorge Bravoing to fulfil the requirements for controlling a human-inspired rehabilitation robot via muscle forces. It is targeted at providing real-time force assistance during gait. The PMFE is based on a 2D computer-generated musculoskeletal model, which computes anatomical parameters and time-variable moment arms.作者: 透明 時間: 2025-3-24 22:28
J. Desimoni,C.P. Ramos,R.C. Mercadertrol. This chapter summarises the main outcomes and conclusions of this book, as well as highlight the contributions made by the authors. This chapter also provides a discussion of future directions that can be explored to extend or advance the work presented in this book.作者: Neuropeptides 時間: 2025-3-24 23:09
A Hybrid BCI for Gaming,ing that involves training aspects and more complex commands. An EEG cap with seven active electrodes was used to collect users’ brain signals. The signals were passed through noise suppression and classification using the Fast Fourier Transform (FFT), the ANBF and adaptive thresholds.作者: GLUE 時間: 2025-3-25 05:18 作者: NIL 時間: 2025-3-25 09:29
Muscle Force Estimation Model for Gait Rehabilitation,ing to fulfil the requirements for controlling a human-inspired rehabilitation robot via muscle forces. It is targeted at providing real-time force assistance during gait. The PMFE is based on a 2D computer-generated musculoskeletal model, which computes anatomical parameters and time-variable moment arms.作者: defray 時間: 2025-3-25 13:41 作者: Polydipsia 時間: 2025-3-25 18:06 作者: Essential 時間: 2025-3-25 23:55 作者: Infirm 時間: 2025-3-26 04:08 作者: 最高點(diǎn) 時間: 2025-3-26 07:23
https://doi.org/10.1007/3-540-76074-1rovided. This is followed by a review of the state-of-the-art in biomechanical model-based control strategies, with primary focus on its application to rehabilitation robots. Finally, the reviewed materials are discussed to highlight issues in biomechanics that require further work, and are hence the subject of investigation for this research.作者: 含沙射影 時間: 2025-3-26 09:41 作者: 吵鬧 時間: 2025-3-26 15:20
Signal Processing Methods for SSVEP-Based BCIs,free energy of the target frequency bands. The proposed ANBF is compared with the widely used Canonical Correlation Analysis (CCA) and verified online with two channel EEG data from nine healthy participants. This study was done without preventing participants’ normal eye blinks and high performance作者: 易發(fā)怒 時間: 2025-3-26 17:43 作者: Commission 時間: 2025-3-27 01:00
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作者: Phagocytes 時間: 2025-3-27 01:57 作者: 斜 時間: 2025-3-27 06:22 作者: ORE 時間: 2025-3-27 12:38 作者: 確定的事 時間: 2025-3-27 16:21
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作者: aesthetician 時間: 2025-3-27 19:15 作者: Inflated 時間: 2025-3-28 01:02
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作者: xanthelasma 時間: 2025-3-28 02:36 作者: BRIBE 時間: 2025-3-28 10:02 作者: 值得 時間: 2025-3-28 12:31
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-作者: Basilar-Artery 時間: 2025-3-28 18:17
Yeze?a 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作者: Aphorism 時間: 2025-3-28 22:33
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作者: 閹割 時間: 2025-3-29 00:01
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作者: 可商量 時間: 2025-3-29 04:48 作者: 薄膜 時間: 2025-3-29 07:52
978-3-319-85007-8Springer International Publishing AG 2017作者: 合唱隊 時間: 2025-3-29 15:08
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.作者: ACTIN 時間: 2025-3-29 18:03
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作者: 節(jié)約 時間: 2025-3-29 20:39 作者: Thyroxine 時間: 2025-3-30 02:24
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.
