• An intelligent tool for bio-ma...

Treffer: An intelligent tool for bio-magnetic Signal Processing

Title:
An intelligent tool for bio-magnetic Signal Processing
Authors:
LAMBROS, Skarlas, ADAMOPOULOS, Adam, STRATOS, Georgopoulos, SPIRIDON, Likothanassis
Source:
Methods and applications of artificial intelligence (Samos, 5-8 May 2004)Lecture notes in computer science. :282-290
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 14 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Systèmes d'information. Bases de données, Information systems. Data bases, Intelligence artificielle, Artificial intelligence, Apprentissage et systèmes adaptatifs, Learning and adaptive systems, Algorithme génétique, Genetic algorithm, Algoritmo genético, Algorithme évolutionniste, Evolutionary algorithm, Algoritmo evoluciónista, Approche probabiliste, Probabilistic approach, Enfoque probabilista, Classification, Clasificación, Entropie, Entropy, Entropía, Filtrage Kalman, Kalman filtering, Filtrado Kalman, Filtre Kalman, Kalman filter, Filtro Kalman, Fonction noyau, Kernel function, Función núcleo, Gestation, Pregnancy, Gestación, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Non déterminisme, Non determinism, No determinismo, Outil logiciel, Software tool, Herramienta software, Processus stochastique, Stochastic process, Proceso estocástico, Système non déterministe, Non deterministic system, Sistema no determinista, Série temporelle, Time series, Serie temporal, Temps linéaire, Linear time, Tiempo lineal, Théorie algorithme, Algorithm theory, Traitement signal, Signal processing, Procesamiento señal
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Computer Engineering and Informatics, University of Patras, 26500, Rio, Patras, Hellas, Greece
Research Academic Computer Technology Institute, 61 Riga Feraiou Str., 26221, Patras, Hellas, Greece
Laboratory of Medical Physics, Department of Medicine Democritus, University of Thrace, 68100 Alexandroupolis, Hellas, Greece
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=15811418
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.15811418
Database:
PASCAL Archive

Weitere Informationen

In this contribution we present a novel software tool that can be used to implement intelligent signal processing techniques. BSPS which stands for (Bio magnetic Signal Processing Software) is either a standalone application, or it can be embedded in the kernel of an Artificial Intelligence tool, since it performs signal classification. It can be used to analyze both linear and non linear time series, deterministic and stochastic processes. We used our application in order to analyze and predict the behavior of fetal heart during several phases of women pregnancy. By using evolutionary techniques like genetic algorithms, the theory of Kalman filtering, the Multi-model Partitioning Theory, the Approximate Entropy and other approaches we managed the accomplishment of our objectives.