Design and Implementation of a Patterns Recognition System for Analysis of Biological Liquids

Author

Aguilar, J. ; Hernandez, L.

Author_Institution

Dept. de Comput., Univ. de los Andes, Merida, Venezuela

Volume

7

Issue

1

fYear

2009

fDate

3/1/2009 12:00:00 AM

Firstpage

12

Lastpage

26

Abstract

Given the great amount of data that are generated of the experiments to analyze information of extracted chemical fluids of the brain of a rodent, arises the necessity to design and to implement data mining systems to process this data. In this work is proposed a fuzzy system for the analysis of biological liquids, that allows to analyze and to process the data, and this way, to know a series upheavals product of alterations, storage, and liberation of the neurotransmitters. Our system has been tested to determine the variation of the glutamato neurotransmitter in the cerebral tonsil of the rats. It discovers and it evaluates new rules, and it generates new solutions associated to clinical upheavals.

Keywords

biology computing; brain; data mining; fuzzy logic; fuzzy systems; neurophysiology; pattern recognition; biological liquids; brain; cerebral tonsil; data mining; extracted chemical fluids; fuzzy logic; fuzzy system; neurotransmitters; pattern recognition; Chemical analysis; Chemical processes; Data mining; Fuzzy systems; Information analysis; Liquids; Neurotransmitters; Pattern analysis; Pattern recognition; Rodents; Análisis de Líquidos Biológicos; Fisiología de la Conducta; Lógica Difusa; Neurotransmisores; Reconocimiento de Patrones;

fLanguage

English

Journal_Title

Latin America Transactions, IEEE (Revista IEEE America Latina)

Publisher

ieee

ISSN

1548-0992

Type

jour

DOI

10.1109/TLA.2009.5173461

Filename

5173461