EEG Signal Analysis and Classification: Techniques and Applications (Health Information Science) - Image 1

£103.06

Springer EEG Signal Analysis and Classification: Techniques and Applications (Health Information Science)

Name: EEG Signal Analysis and Classification: Techniques and Applications (Health Information Science)
Brand: Springer
Price: 103.06 GBP
Availability: InStock

AI & Machine Learning

It has never been this cheap. We have no record of a lower price.

£103 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 1 days • 1 data points (No recent data available)

Historical

Generating forecast...

Not enough data points to display chart (need at least 2 points)

Price Distribution

Price distribution over 1 days • 1 price levels

Days at Price

Price Analysis

Most common price: £103 (1 days, 100.0%)

Price range: £103 - £103

Price levels: 1 different prices over 1 days

Description

This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed methods enable the extraction of this vital information from EEG signals in order to accurately detect abnormalities revealed by the EEG. New methods will relieve the time-consuming and error-prone practices that are currently in use. Common signal processing methodologies include wavelet transformation and Fourier transformation, but these methods are not capable of managing the size of EEG data. Addressing the issue, this book examines new EEG signal analysis approaches with a combination of statistical techniques (e.g. random sampling, optimum allocation) and machine learning methods. The developed methods provide better results than the existing methods. The book also offers applications of the developed methodologies that have been tested on several real-time benchmark databases. This book concludes with thoughts on the future of the field and anticipated research challenges. It gives new direction to the field of analysis and classification of EEG signals through these more efficient methodologies. Researchers and experts will benefit from its suggested improvements to the current computer-aided based diagnostic systems for the precise analysis and management of EEG signals.

Product Specifications

Brand: Springer
Format: Paperback
ASIN: 3319837915
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 25 July 2018
Listed Since: 25 July 2018

Barcode

No barcode data available

Springer EEG Signal Analysis and Classification: Techniques and Applications (Health Information Science)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Brain Computer Interface: EEG Signal Processing

Brain Computer Interface: EEG Signal Processing

Advances in Processing and Pattern Analysis of Biological Signals

EEG Signal Processing and Machine Learning

Reading EEGs: A Practical Approach

Automated EEG-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology

Intracranial EEG: A Guide for Cognitive Neuroscientists (Studies in Neuroscience, Psychology and Behavioral Economics)

Electroencephalography: Textbook and Atlas

EEG: The First 100 Years: Past, Present and Future of Electroencephalography

EEG Methods for the Psychological Sciences (The Sage Library of Methods in Social and Personality Psychology)

How to Read an EEG

EEG Methods for the Psychological Sciences

The role of EEG in the diagnosis and classification of the epilepsies and the epilepsy syndromes: A tool for clinical practice

CURRENT PRACTICE OF CLINICAL ELECTROENCEPHALOGRAPHY: Comprehensive Insights into Diagnostic Techniques, Treatment Strategies, and Emerging Trends in Neurophysiology.

The Oxford Handbook of EEG Frequency (Oxford Library of Psychology)

Rowan's Primer of EEG

Atlas of EEG Patterns

Wiley-Blackwell Analysis of the Electrical Activity of the Brain

Genetics and the Electroencephalogram

An Introduction to the Event-Related Potential Technique (A Bradford Book)

Multi-Modal EEG Monitoring of Severely Neurologically Ill Patients

Standard EEG: A Research Roadmap for Neuropsychiatry

Analyzing Neural Time Series Data – Theory and Practice (The MIT Press)

Designing EEG Experiments for Studying the Brain: Design Code and Example Datasets