Neuro-rehabilitation with brain interface / edited by Leo P. Ligthart, Ramjee Prasad, Silvano Pupolin.

Format:

Book

Contributor:

Ligthart, L. P., editor.

Prasad, Ramjee, editor.

Pupolin, Silvano, 1947- editor.

Series:

River Publishers series in communications ; Volume 40.

River Publishers Series in Communications ; Volume 40

Language:

English

Subjects (All):

Brain-computer interfaces.

Physical Description:

1 online resource (169 pages) : illustrations (some color), photographs, charts, graphs, tables.

Edition:

1st ed.

Place of Publication:

Gistrup, Denmark : River Publishers, [2015]

Summary:

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.

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

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

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

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

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

Index

Editor's Biographies.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-00-333892-5

1-000-79240-4

1-003-33892-5

87-93237-44-8

9781003338925

OCLC:

957125379