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Über dieses Buch

This book 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.

Inhaltsverzeichnis

Frontmatter

Chapter 1. Motor Imagery

This chapter presents the initial works developed in the context of this thesis regarding the analysis of the brain activity based on motor imagery techniques. The chapter starts with a description of the phenomenon under study followed by the methodology applied in order to distinguish between different mental tasks. In this work, methods to infer from two to five different mental tasks are presented. Additionally, the detection of two and four mental tasks has been applied, in real-time, to enable the manipulation of two different robotic systems.
Enrique Hortal

Chapter 2. Multimodal Assistance System

This chapter describes the use of a multimodal system designed with a view to controlling the movements of an assistive robotic system. The multimodal control is based on two biosignals, namely electrooculography and electroencephalography. The chapter includes a description of the electrooculogram-based system along with the brain-machine interface and how these two interfaces were integrated. Finally, the experimental procedure and its results are presented.
Enrique Hortal

Chapter 3. BMI Based on Movement Intention Detection

The second method utilized for the analysis of brain signals developed in this thesis is described in this chapter. This section includes a description of the principal brain signal’s potentials utilized with the purpose of detecting the mental activity of an individual. Furthermore, a methodology to detect users’ movement intention through the analysis of the event-related desynchronization phenomenon is presented. Finally, the experimental phase performed to validate the approach is described.
Enrique Hortal

Chapter 4. Rehabilitation Robot System

This chapter joints the main methodologies presented in previous chapters with a view to enabling an efficient rehabilitation system managed by the users through their mental activity. The chapter presents the experiments conducted by patients suffering from motor disabilities and non-diagnosed users and the results obtained are compared. The chapter also includes the comparison of the two methodologies considered (namely, motor imagery and movement intention detection).
Enrique Hortal

Backmatter

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