Electroencephalography and Magnetoencephalography-Reference-Cited by-同舟云学术

Electroencephalography and Magnetoencephalography

Published:2023 Issue: Volume: Page:285-312
ISSN:0893-2336
Container-title:Machine Learning for Brain Disorders
language:
Short-container-title:

Author:

Corsi Marie-Constance

Abstract

AbstractIn this chapter, we present the main characteristics of electroencephalography (EEG) and magnetoencephalography (MEG). More specifically, this chapter is dedicated to the presentation of the data, the way they can be acquired and analyzed. Then, we present the main features that can be extracted and their applications for brain disorders with concrete examples to illustrate them. Additional materials associated with this chapter are available in the dedicated Github repository.

Publisher

Springer US

Link

https://link.springer.com/content/pdf/10.1007/978-1-0716-3195-9_9

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