Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing

Synopsis

The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book: Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface Highlights the latest machine learning and deep learning methods for neural signal processing Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.

Copyright:

2024

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9781040028803

Related ISBNs:

9781032529301, 9781003479970, 9781040028773

Publisher:

CRC Press

Date of Addition:

06/06/24

Copyrighted By:

selection and editorial matter, Rajesh Kumar Tripathy and Ram Bilas Pachori

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Science, Computers and Internet, Technology, Medicine

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Rajesh Kumar Tripathy

Edited by:

Ram Bilas Pachori