Parameter System for Human Physiological Data Representation and Analysis

Authors:
Olga Kurasova;Gintautas Dzemyda;Alfonsas Vainoras
Affiliations:
Institute of Mathematics and Informatics, Akademijos St. 4, LT 08663, Vilnius,;Institute of Mathematics and Informatics, Akademijos St. 4, LT 08663, Vilnius,;Kaunas Medical University, M. Jankaus St. 2, LT 50275, Kaunas, Lithuania
Venue:
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Year:
2007

Citing 7
Cited 0

Visualization of a set of parameters characterized by their correlation matrix

Computational Statistics & Data Analysis
Benchmark development for the evaluation of visualization for data mining

Information visualization in data mining and knowledge discovery
Self-Organizing Maps

Self-Organizing Maps
Data Mining: Introductory and Advanced Topics

Data Mining: Introductory and Advanced Topics
Bayesian methods

Intelligent data analysis
Support vector and Kernel methods

Intelligent data analysis
A Nonlinear Mapping for Data Structure Analysis

IEEE Transactions on Computers

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, two systems of physiological parameters that describe the human functional state are analysed. Some physiological features are measured on sportsmen and ischemic heart-diseased men by changing the physical load, and the system of parameters is developed. One parameter system is based on the so-called fractal dimensions, and the other one is based on the parameters of curves that approximate the change of feature values in time. The application of classification and visualization methods and neural networks allowed us to optimise the number of parameters. The results may be generalised to the large number of problems in biomedicine and bioinformatics.