Processing Methodologies For Brain Computer Interface | Spectral Subtraction Denoising

Meena M. Makary (u. a.)

ISBN 10: 3659560197 / ISBN 13: 9783659560194

Published by LAP Lambert Academic Publishing, 2014

About this Item

Processing Methodologies For Brain Computer Interface | Spectral Subtraction Denoising | Meena M. Makary (u. a.) | Taschenbuch | 80 S. | Englisch | 2014 | LAP Lambert Academic Publishing | EAN 9783659560194 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 105216737

Bibliographic Details

• Title: Processing Methodologies For Brain Computer Interface | Spectral Subtraction Denoising
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2014
• Language: English
• ISBN 10: 3659560197
• ISBN 13: 9783659560194
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 137 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

A brain-computer interface is a direct communication pathway between a human brain and an external device. It allows users to act on their environment by using only brain activity, without using peripheral nerves and muscles. The paralyzed person controls the brain-computer interface device by performing mental activities which are associated with actions that are dependent on the BCI application. The device is used to acquire the brain signals. Signal processing techniques are then applied to the acquired signals for feature extraction. The classification stage serves as a means of understanding the signal. The classification output is fed to applications which might give a feedback to the brain. Applications may include the control of an on/off switch such as air conditions, mobile phones, etc. Any brain-computer interface system consists of three main parts namely; preprocessing, feature extraction & selection and classification. The most important parts are feature extraction and preprocessing. In this book we demonstrate processing methodologies for BCI namely; adaptive denoising and its effect on the accuracy of different BCI experiments.

About the Author

Meena M. Makary graduated from Faculty of Engineering, Cairo University in 2011 and he obtained his M.Sc. degree in Biomedical Engineering from Cairo University in 2013. Since then he worked as Teaching Lecturer there also he worked in different international projects in the field of Biomedical Engineering.