Coverart for item
The Resource Biomechatronics in medical rehabilitation : biomodelling, interface, and control, Shane Xie, Wei Meng

Biomechatronics in medical rehabilitation : biomodelling, interface, and control, Shane Xie, Wei Meng

Label
Biomechatronics in medical rehabilitation : biomodelling, interface, and control
Title
Biomechatronics in medical rehabilitation
Title remainder
biomodelling, interface, and control
Statement of responsibility
Shane Xie, Wei Meng
Creator
Contributor
Subject
Language
eng
Summary
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 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
Member of
Cataloging source
EBLCP
http://library.link/vocab/creatorName
Xie, Shane
Dewey number
  • 610.28
  • 620
Index
no index present
LC call number
  • R856
  • TA1-2040
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Meng, Wei
http://library.link/vocab/subjectName
  • Medical electronics
  • Mechatronics
  • Electronics, Medical
  • Engineering
  • Biomedical Engineering
  • Biomedical Engineering/Biotechnology
  • Rehabilitation
Label
Biomechatronics in medical rehabilitation : biomodelling, interface, and control, Shane Xie, Wei Meng
Instantiates
Publication
Note
8.5.2 Robot Experiments and Results
Antecedent source
file reproduced from an electronic resource
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface; 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
  • 2.2.3 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
  • 4.2.1 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
  • 6.1.2 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
  • 8 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
Dimensions
unknown
Extent
1 online resource (214 pages)
File format
one file format
Form of item
online
Isbn
9783319528847
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-52884-7
Quality assurance targets
unknown
Reformatting quality
unknown
Specific material designation
remote
System control number
ocn971365124
Label
Biomechatronics in medical rehabilitation : biomodelling, interface, and control, Shane Xie, Wei Meng
Publication
Note
8.5.2 Robot Experiments and Results
Antecedent source
file reproduced from an electronic resource
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface; 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
  • 2.2.3 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
  • 4.2.1 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
  • 6.1.2 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
  • 8 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
Dimensions
unknown
Extent
1 online resource (214 pages)
File format
one file format
Form of item
online
Isbn
9783319528847
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-52884-7
Quality assurance targets
unknown
Reformatting quality
unknown
Specific material designation
remote
System control number
ocn971365124

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