Coverart for item
The Resource Neuro-Rehabilitation with Brain Interface

Neuro-Rehabilitation with Brain Interface

Label
Neuro-Rehabilitation with Brain Interface
Title
Neuro-Rehabilitation with Brain Interface
Creator
Contributor
Subject
Genre
Language
eng
Member of
Cataloging source
MiAaPQ
LC call number
QP360.7.N487 2015eb
Literary form
non fiction
Nature of contents
dictionaries
Series statement
River Publishers Series in Communications
Label
Neuro-Rehabilitation with Brain Interface
Link
http://ebookcentral.proquest.com/lib/multco/detail.action?docID=4509480
Instantiates
Publication
Copyright
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Cover -- Title Page -- RIVER PUBLISHERS SERIES IN COMMUNICATIONS -- Title - Brain-Computer Interface/Brain-Machine Interface (BCI/BMI)Applied to Neuro-Rehabilitation -- Copyright -- Contents -- Foreword -- List of Abbreviations -- List of Figures -- List of Tables -- 1. Overview on BCI/BMI Applied -- 1.1 Introduction -- References -- Biographies -- 2. ICT for Neurorehabilitation -- 2.1 Introduction -- 2.2 Plasticity and Rehabilitation of the Brain -- 2.3 Attempts at Neural Rehabilitation with BMI -- 2.4 Conclusions -- References -- Biographies -- 3. ICT for New-Generation Prostheses -- 3.1 Introduction -- 3.2 Neuromusculoskeletal Modelling: Its Role in the Design of New-Generation Prostheses -- 3.2.1 Musculotendon Models and Parameters -- 3.2.2 Musculoskeletal Kinematics -- 3.2.3 Neuromuscular Control of Musculoskeletal Systems -- 3.2.4 Patient-Specific Neuromusculoskeletal Modelling -- 3.3 Catching the Intention to Move: Brain-Machine Interfaces -- 3.4 Kinematic Reconstruction and Goal-Directed BMI Approaches -- 3.5 The Hybrid Architecture and the Role of Shared-Control in BMI-Driven Devices -- 3.6 Future Challenges for New-Generation Prostheses -- References -- Biographies -- 4. Gaze Tracking, Facial Orientation Determination, Face and Emotion Recognition in 3D Space for Neurorehabilitation Applications -- Abstract -- 4.1 Introduction -- 4.2 Gaze Tracking and Face Orientation Determination with an Active Multicamera System with Kinect Sensor -- 4.2.1 System Overview -- 4.2.2 System Geometrical Model and Calibration -- 4.2.2.1 Modelling the pan-tilt unit -- 4.2.2.2 Estimating the transformation {G} ↔ {K} -- 4.2.3 Facial Extraction and Tracking -- 4.2.4 Gaze Direction Estimation -- 4.2.5 Experimental Results -- 4.3 3D Face and Emotion Recognition with Multiple Kernel Learning -- 4.3.1 Preprocessing and Feature Extraction
  • 4.3.1.1 Point cloud filtering -- 4.3.1.2 Surface normal feature extraction -- 4.3.1.3 Locally adaptive regression kernels (LARK) feature extraction -- 4.3.1.4 Shape operator -- 4.3.2 Multiple Kernel Learning for 3D Face and Emotion Recognition -- 4.3.3 3D Face Recognition -- 4.3.4 3D Facial Expression Recognition -- 4.4 Conclusion and Comments -- Acknowledgment -- References -- Biographies -- 5. An Integrated Perspective for Future Widespread Integration of Neuro-motor Rehabilitation -- 5.1 Introduction -- 5.2 Overview of Motor Diseases and Their Rehabilitation -- 5.3 Two Main Approaches to Rehabilitation -- 5.4 Rehabilitative Basic Principles -- 5.5 Optimization of Current Rehabilitative Methods -- 5.5.1 Virtual Reality -- 5.5.2 EMG Feedback -- 5.6 Future Perspective -- 5.7 Conclusions -- References -- Biographies -- 6. Ethical Issues in the Use of Information and Communication Technologies in the Health Care of Patients with Neurological Disorders -- 6.1 Introduction -- 6.2 ICT for Health Care -- 6.3 Ethical Issues Associated with ICT for Health Care -- 6.3.1 State of the Art on ICT for Health Care -- 6.4 Ethical Aspects in Relation to ICT Robotics -- 6.5 Ethical Aspects of Telemedicine -- 6.6 ICT for Improving Patients' Cognitive Functions -- 6.7 Ethical Aspects on ICT for Rehabilitation -- 6.8 Conclusions -- References -- Biographies -- Index -- Editor's Biographies
Control code
EBC4509480
Dimensions
unknown
Extent
1 online resource (169 pages)
Form of item
online
Isbn
9788793237445
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Sound
unknown sound
Specific material designation
remote
System control number
  • (MiAaPQ)EBC4509480
  • (Au-PeEL)EBL4509480
  • (CaPaEBR)ebr11247337
  • (OCoLC)957125379
Label
Neuro-Rehabilitation with Brain Interface
Link
http://ebookcentral.proquest.com/lib/multco/detail.action?docID=4509480
Publication
Copyright
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Cover -- Title Page -- RIVER PUBLISHERS SERIES IN COMMUNICATIONS -- Title - Brain-Computer Interface/Brain-Machine Interface (BCI/BMI)Applied to Neuro-Rehabilitation -- Copyright -- Contents -- Foreword -- List of Abbreviations -- List of Figures -- List of Tables -- 1. Overview on BCI/BMI Applied -- 1.1 Introduction -- References -- Biographies -- 2. ICT for Neurorehabilitation -- 2.1 Introduction -- 2.2 Plasticity and Rehabilitation of the Brain -- 2.3 Attempts at Neural Rehabilitation with BMI -- 2.4 Conclusions -- References -- Biographies -- 3. ICT for New-Generation Prostheses -- 3.1 Introduction -- 3.2 Neuromusculoskeletal Modelling: Its Role in the Design of New-Generation Prostheses -- 3.2.1 Musculotendon Models and Parameters -- 3.2.2 Musculoskeletal Kinematics -- 3.2.3 Neuromuscular Control of Musculoskeletal Systems -- 3.2.4 Patient-Specific Neuromusculoskeletal Modelling -- 3.3 Catching the Intention to Move: Brain-Machine Interfaces -- 3.4 Kinematic Reconstruction and Goal-Directed BMI Approaches -- 3.5 The Hybrid Architecture and the Role of Shared-Control in BMI-Driven Devices -- 3.6 Future Challenges for New-Generation Prostheses -- References -- Biographies -- 4. Gaze Tracking, Facial Orientation Determination, Face and Emotion Recognition in 3D Space for Neurorehabilitation Applications -- Abstract -- 4.1 Introduction -- 4.2 Gaze Tracking and Face Orientation Determination with an Active Multicamera System with Kinect Sensor -- 4.2.1 System Overview -- 4.2.2 System Geometrical Model and Calibration -- 4.2.2.1 Modelling the pan-tilt unit -- 4.2.2.2 Estimating the transformation {G} ↔ {K} -- 4.2.3 Facial Extraction and Tracking -- 4.2.4 Gaze Direction Estimation -- 4.2.5 Experimental Results -- 4.3 3D Face and Emotion Recognition with Multiple Kernel Learning -- 4.3.1 Preprocessing and Feature Extraction
  • 4.3.1.1 Point cloud filtering -- 4.3.1.2 Surface normal feature extraction -- 4.3.1.3 Locally adaptive regression kernels (LARK) feature extraction -- 4.3.1.4 Shape operator -- 4.3.2 Multiple Kernel Learning for 3D Face and Emotion Recognition -- 4.3.3 3D Face Recognition -- 4.3.4 3D Facial Expression Recognition -- 4.4 Conclusion and Comments -- Acknowledgment -- References -- Biographies -- 5. An Integrated Perspective for Future Widespread Integration of Neuro-motor Rehabilitation -- 5.1 Introduction -- 5.2 Overview of Motor Diseases and Their Rehabilitation -- 5.3 Two Main Approaches to Rehabilitation -- 5.4 Rehabilitative Basic Principles -- 5.5 Optimization of Current Rehabilitative Methods -- 5.5.1 Virtual Reality -- 5.5.2 EMG Feedback -- 5.6 Future Perspective -- 5.7 Conclusions -- References -- Biographies -- 6. Ethical Issues in the Use of Information and Communication Technologies in the Health Care of Patients with Neurological Disorders -- 6.1 Introduction -- 6.2 ICT for Health Care -- 6.3 Ethical Issues Associated with ICT for Health Care -- 6.3.1 State of the Art on ICT for Health Care -- 6.4 Ethical Aspects in Relation to ICT Robotics -- 6.5 Ethical Aspects of Telemedicine -- 6.6 ICT for Improving Patients' Cognitive Functions -- 6.7 Ethical Aspects on ICT for Rehabilitation -- 6.8 Conclusions -- References -- Biographies -- Index -- Editor's Biographies
Control code
EBC4509480
Dimensions
unknown
Extent
1 online resource (169 pages)
Form of item
online
Isbn
9788793237445
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Sound
unknown sound
Specific material designation
remote
System control number
  • (MiAaPQ)EBC4509480
  • (Au-PeEL)EBL4509480
  • (CaPaEBR)ebr11247337
  • (OCoLC)957125379

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