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000779365 019__ $$a974649935$$a981099326$$a981813846
000779365 020__ $$a9783319528847$$q(electronic book)
000779365 020__ $$a331952884X$$q(electronic book)
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000779365 0247_ $$a10.1007/978-3-319-52884-7$$2doi
000779365 035__ $$aSP(OCoLC)ocn971365124
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000779365 050_4 $$aTA1-2040
000779365 08204 $$a610.28$$223
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000779365 1001_ $$aXie, Shane.
000779365 24510 $$aBiomechatronics in medical rehabilitation :$$bbiomodelling, interface, and control /$$cShane Xie, Wei Meng.
000779365 260__ $$aCham :$$bSpringer,$$c2017.
000779365 300__ $$a1 online resource (214 pages)
000779365 336__ $$atext$$btxt$$2rdacontent
000779365 337__ $$acomputer$$bc$$2rdamedia
000779365 338__ $$aonline resource$$bcr$$2rdacarrier
000779365 347__ $$atext file$$bPDF$$2rda
000779365 500__ $$a8.5.2 Robot Experiments and Results.
000779365 504__ $$aIncludes bibliographical references.
000779365 5050_ $$aPreface; Acknowledgements; Contents; Nomenclature; 1 Introduction; 1.1 Medical Background and Requirements; 1.2 BCI Systems; 1.3 EMG-Based Neuromuscular Interface; 1.4 Human-Robot Interaction Control; 1.5 Summary; References; 2 State of the Art; 2.1 EEG-Based BCI and Its Challenges; 2.1.1 Steady State Visual Evoked Potentials; 2.1.2 EEG Signal Processing: Improving the SNR; 2.1.3 EEG Signal Processing: Signal Translation and Classification; 2.1.4 Current Limitations; 2.2 EMG and the Neuromuscular Interface; 2.2.1 Applications of sEMG; 2.2.2 sEMG-Based Neuromuscular Interface.
000779365 5058_ $$a2.2.3 Current Challenges2.3 Neuromusculoskeletal Models for Gait Rehabilitation; 2.3.1 Musculoskeletal Model; 2.3.2 EMG-Driven Models; 2.4 Discussion; 2.5 Summary; References; 3 Signal Processing Methods for SSVEP-Based BCIs; 3.1 Introduction; 3.2 Adjacent Narrow Band Filter (ANBF) Algorithm; 3.2.1 Artefact Reduction; 3.2.2 Frequency Recognition Strategy; 3.3 Methods and Materials; 3.3.1 Experimental Protocol; 3.3.2 EEG Recording and Evaluation; 3.4 Results; 3.5 Discussion; 3.6 Summary; References; 4 SSVEP-Based BCI for Lower Limb Rehabilitation; 4.1 Introduction; 4.2 Methods and Materials.
000779365 5058_ $$a4.2.1 Subjects and Visual Stimulator4.2.2 SSVEP Signal Processing; 4.2.3 Robotic Exoskeleton Device; 4.2.4 Experimental Protocols; 4.2.5 Control Algorithm; 4.3 Results; 4.4 Discussion; 4.5 Summary; References; 5 A Hybrid BCI for Gaming; 5.1 Introduction; 5.2 BCI Setup; 5.2.1 Signal Recording and Processing; 5.2.2 Super Street Fighter Video Game; 5.3 Experimental Method and Results; 5.3.1 Experimental Protocol; 5.3.2 Results; 5.4 Discussion; 5.5 Summary; References; 6 EMG-Driven Physiological Model for Upper Limb; 6.1 Neuromusculoskeletal Model; 6.1.1 Musculoskeletal Geometry Model.
000779365 5058_ $$a6.1.2 Musculotendon Model6.1.3 Kinematic Model; 6.2 Model Sensitivity Analysis; 6.2.1 Model Parameters; 6.2.2 Sensitivity Analysis; 6.2.3 Results and Discussion; 6.3 Elbow Physiological Model Validation; 6.3.1 Experimental Setup; 6.3.2 Model Validation; 6.4 Summary; References; 7 Exoskeleton Control Based on Neural Interface; 7.1 Exoskeleton Development; 7.2 Exoskeleton Control; 7.2.1 Control System Design; 7.2.2 Control of the Elbow Joint; 7.3 Human-Robot Interface; 7.3.1 Interface Design and Parameter Tuning; 7.3.2 Graphical User Interface; 7.4 Summary; References.
000779365 5058_ $$a8 Muscle Force Estimation Model for Gait Rehabilitation8.1 Patient-Specific Muscle Force Estimation; 8.1.1 Patient-Specific Musculoskeletal Model; 8.1.2 Inverse Dynamic Modelling; 8.1.3 Static Optimisation; 8.2 PMFE Evaluation and Results; 8.2.1 PMFE Evaluation; 8.2.2 Simulation Results; 8.2.3 Discussion; 8.3 Human-Inspired Robotic Exoskeleton; 8.4 Biological Command Based Controller; 8.4.1 Dynamic Modelling; 8.4.2 Patient-Specific Muscle Force Estimation; 8.4.3 PMFE Based Feedforward Controller; 8.5 PSBc Evaluation and Results; 8.5.1 Computer Simulation and Results.
000779365 506__ $$aAccess limited to authorized users.
000779365 520__ $$aThis 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 is especially useful for researchers, academics and graduates new to the field of biomechatronics engineering, and is also of interest to researchers and clinicians in the medical field who are not engineers.
000779365 588__ $$aDescription based on print  version record.
000779365 650_0 $$aMedical electronics.
000779365 650_0 $$aMechatronics.
000779365 7001_ $$aMeng, Wei.
000779365 77608 $$iPrint version:$$aXie, Shane (S.Q.).$$tBiomechatronics in Medical Rehabilitation : Biomodelling, Interface, and Control.$$dCham : Springer International Publishing, ©2017$$z9783319528830
000779365 852__ $$bebk
000779365 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-52884-7$$zOnline Access$$91397441.1
000779365 909CO $$ooai:library.usi.edu:779365$$pGLOBAL_SET
000779365 980__ $$aEBOOK
000779365 980__ $$aBIB
000779365 982__ $$aEbook
000779365 983__ $$aOnline
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