EEG Signal Feature Extraction and Classification Analysis

Name: EEG Signal Feature Extraction and Classification Analysis
Brand: LAP Lambert Academic Publishing
SKU: 9786138346876
Price: 984 CZK
Availability: InStock

Autor: Manini Monalisa Pradhan

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP Lambert Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

984 Kč

In modern techniques Electroencephalogram (EEG) base emotion recognition is a new area with challeng...

Informace o knize

Autor

Manini Monalisa Pradhan

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2018

Stránek

124

EAN

9786138346876

Enbook ID

19360674

Vydavatel

LAP Lambert Academic Publishing

Hmotnost

203

Rozměry

150 x 220 x 7

Kompletní popis

In modern techniques Electroencephalogram (EEG) base emotion recognition is a new area with challenging issue concerning the induction of emotion state diagnosis. There are different techniques for analysis mental diagnosis which helps to further clinical assessment. EEG signal generally contains enormous measures of data with uncountable classifications. The signals turn ought more difficult amid assessing task if the data is captured over a long period. The powerful methodologies are important to secure the hidden and significant data delivered by the action in human cerebrum that covered inside the signals. In this manner, relevant strategies are produced to developed classify data. There are bunches of past researchers and works related to the previously mentioned task, both feature extraction and classification have not been all around created in accomplishing more prominent precision. In this research, methodologies are proposed for the classification arrangement of EEG which can give high precision. The main object is two pattern recognition methods implemented such as Radial Basis Function, Support Vector Machine to explore the appropriate feature and classification

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EEG Signal Feature Extraction and Classification Analysis

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