Brain-Machine Interfaces for Assistance and Rehabilitation of People with Reduced Mobility

  • Enrique Hortal

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xli
  2. Enrique Hortal
    Pages 1-22
  3. Enrique Hortal
    Pages 23-34
  4. Enrique Hortal
    Pages 35-47
  5. Enrique Hortal
    Pages 49-67
  6. Back Matter
    Pages 69-79

About this book


This thesis reports on the development of different control tools for Brain-machine interface-based assistance and rehabilitation. Brain activity is analyzed with the purpose of classify mental tasks and detecting movement intentions in patients with impaired motility. Event-Related Desynchronization (ERD) and Event-Related Synchronization (ERS) are detected. Throughout this book, different control systems are presented and validated. This thesis, examined at the Miguel Hernández University of Elche, Spain, in 2016, received the award for best thesis in bioengineering from the Bioengineering group of the Spanish Committee of Automatic Control (CEA) in 2017.


Motor Imagery Tasks Classification Movement Intention Detection Event-Related Desynchronization (ERD) Event-Related Synchronization (ERS) Detection Functional Electrical Stimulation Upper Limb Exoskeleton EEG-Based BMI

Authors and affiliations

  • Enrique Hortal
    • 1
  1. 1.Maastricht UniversityMaastrichtThe Netherlands

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-95704-3
  • Online ISBN 978-3-319-95705-0
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • Buy this book on publisher's site
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