Arpaia P. Wearable Brain-Computer Interfaces...2023 torrent

Textbook in PDF format

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.
Brain-Computer Interfaces (BCIs) are systems enabling non-muscular communication and control. Such systems rely on the measurement of brain activity, from signals acquisition to processing, thus aiming to associate a meaning to voluntarily or involuntarily modulated brain waves. A main application of these interfaces is the replacement of lost function for people with severe impairments. In addition, they can also help in restoring, improving, enhancing, or supplementing the nervous system functions. Hence, BCIs can also be employed as assistive devices for people with no impairment. Typical examples are gaming, entertainment, education, or novel tools for workers. Whether these kinds of neural interfaces are sought for able-bodied people or impaired ones, the need to move from laboratory environments to daily-life has recently emerged.
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