Neuro-Rehabilitation with Brain Interface

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In recent years, major results were reported on Brain-Computer Interface / Brain-Machine Interface (BCI/BMI) applied to rehabilitation in scientific reports and papers. This subject received much attention within the Society on Communication, Navigation, Sensing and Services (CONASENSE) during the period 2013-2015. Describing the state of the art on various BCI/BMI activities related to neuro-rehabilitation is the central theme of this book.The latest insights coming from neurophysiologists, neuropsychologists, ICT experts specialized in clinical data management and from representatives of patient organizations are elucidated and new ways for “BCI/BMI applied to rehabilitation” using advanced ICT are introduced. The book describes the latest progress in and is an appeal for an approach leading to more cost-saving multi-disciplinary neuro-rehabilitation. This book covers the following topics: • Overview on BCI/BMI applied to rehabilitation• ICT for Neuro-rehabilitation• ICT for new generation prostheses• Gaze tracking, facial orientation determination, face and emotion recognition in 3D space for neuro-rehabilitation applications• Integrated perspective for future wide spread integration of motor neuro-rehabilitation• Ethical issues in the use of Information and Communication Technologies in the health care of patients with neurological disorders

Author(s): Leo P. Ligthart, Ramjee Prasad, Silvano Pupolin
Series: River Publishers Series in Communications
Publisher: River Publishers
Year: 2015

Language: English
Pages: 167
City: Gistrup

Cover
Half Title
Series Page
Title Page
Copyright Page
Table of Contents
Foreword
List of Abbreviations
List of Figures
List of Tables
1: Overview on BCI/BMI Applied
1.1 Introduction
References
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
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
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
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
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
Index
Editor’s Biographies