Can I read Deep Learning Methods for EEG Neural Classification on EtoBox?

Deep Learning Methods for EEG Neural Classification by Sho Nakagome; Alexander Craik; Akshay Sujatha Ravindran; Yongtian He; Jesus G. Cruz-Garza; José L. Contreras-Vidal is a book available to read on EtoBox.

What is Deep Learning Methods for EEG Neural Classification about?

This Handbook serves as an authoritative reference book in the field of Neuroengineering. Neuroengineering is a very exciting field that is rapidly getting established as core subject matter for research and education. The Neuroengineering field has also produced an impressive array of industry products and clinical applications. It also serves as a reference book for graduate students, research scholars and teachers. Selected sections or a compendium of chapters may be used as "reference book" for a one or two semester graduate course in Biomedical Engineering. Some academicians will construct a "textbook" out of selected sections or chapters. The Handbook is also meant as a state-of-the-art volume for researchers. Due to its comprehensive coverage, researchers in one field covered by a certain section of the Handbook would find other sections valuable sources of cross-reference for information and fertilization of interdisciplinary ideas. Industry researchers as well as clinicians using neurotechnologies will find the Handbook a single source for foundation and state-of-the-art applications in the field of Neuroengineering. Regulatory agencies, entrepreneurs, investors and legal

Author

Sho Nakagome; Alexander Craik; Akshay Sujatha Ravindran; Yongtian He; Jesus G. Cruz-Garza; José L. Contreras-Vidal

Publisher

Springer Singapore Pte. Limited; Springer

Published

2023

Language

EN

ISBN

9789811655401

Subjects

Engineering, Stem