Welcome to Loot.co.za! Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search

Checkout
- Your Cart Price

Your cart

Your cart is empty

Books > Medicine > Nursing & ancillary services > Biomedical engineering

Buy Now

EEG Signal Processing and Feature Extraction (Hardcover, 1st ed. 2019) Loot Price: R5,046

Discovery Miles 50 460

Repayment Terms: R473 pm x 12*

Add to cart

EEG Signal Processing and Feature Extraction (Hardcover, 1st ed. 2019): Li Hu, Zhiguo Zhang

EEG Signal Processing and Feature Extraction (Hardcover, 1st ed. 2019)

Li Hu, Zhiguo Zhang

(sign in to rate)

Loot Price R5,046 Discovery Miles 50 460 | Repayment Terms: R473 pm x 12*

Expected to ship within 12 - 19 working days

Description
Details
Customer Reviews

This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and implementation strategies.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	October 2019
First published:	2019
Editors:	Li Hu • Zhiguo Zhang
Dimensions:	235 x 155 x 31mm (L x W x T)
Format:	Hardcover
Pages:	437
Edition:	1st ed. 2019
ISBN-13:	978-981-13-9112-5
Categories:	Books > Social sciences > Psychology > Psychological methodology > General Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Promotions
LSN:	981-13-9112-2
Barcode:	9789811391125