Wearable Brain-Computer Interfaces : Prototyping EEG-Based Instruments for Monitoring and Control

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Wearable Brain-Computer Interfaces : Prototyping EEG-Based Instruments for Monitoring and Control

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  • 製本 Hardcover:ハードカバー版／ページ数 248 p.
  • 言語 ENG
  • 商品コード 9781032200859
  • DDC分類 616.8047547

Full Description

This book presents a complete overview of the main EEG-based Brain-Computer Interface (BCI) paradigms and the related practical solutions for their design, prototyping, and testing. Readers will explore active, reactive, and passive BCI paradigms, with an emphasis on the operation for developing solutions, addressing the need for customization.

Readers will familiarize themselves with the main steps for the realization of low-cost wearable BCIs which include: identification of the most suitable neuro signals for a specific application; definition of the hardware, firmware, and software, with a focus on wearable, non-invasive, and low-cost solutions; development of algorithms for data processing and classification; and, lastly, experimental campaigns for the validation of the prototyped solutions. BCI systems based on electroencephalography (EEG) are investigated and a complete overview of all BCI paradigms is offered. The aim of this book is to drive the reader, from the beginning to the end, along a research-and-development process of a working BCI prototype.

This book is a guide for designers, biomedical engineers, students, biotechnologists, and those in the biomedical instrumentation field that would like to conceive, design, prototype, and test an innovative low-cost wearable EEG-based BCI.

Contents

Part 1: Background. 1. Electroencephalography-based Brain-Computer Interfaces. 2. Design of Daily-life Brain-Computer Interfaces. Part 2: Reactive Brain-Computer Interfaces. 3. Fundamentals. 4. SSVEP-based Instrumentation. 5. Case Studies. Part 3: Passive Brain-Computer Interfaces. 6. Fundamentals. 7. EEG-Based Monitoring Instrumentation. 8. Case Studies. Part 4: Active Brain-Computer Interfaces. 9. Fundamentals. 10. Motor Imagery-Based Instrumentation. 11. Case Studies.