A flexible pattern recognition system for analysis of ECG and related demographics and annotations

Author

Eftestol, T. ; Aase, Sven O. ; Husøy, John H.

Author_Institution

Dept. of Electr. & Comput. Eng., Stavanger Univ., Norway

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

135

Abstract

A methodology for structuring information inherent in research data is proposed. Dividing the data according to system, group and temporal levels allows reflecting the information inherent in the data the construction of a flexible analysis system able to handle different research tasks. Two simple examples of the use of these principles are used to illustrate the working principles of the methodology

Keywords

demography; electrocardiography; information theory; medical signal processing; pattern recognition; task analysis; ECG analysis; animal studies; annotations; cardiac arrest; flexible pattern recognition system; group level information; human data; hypothesis handling; information levels; inherent information structuring; related demographics; research data; research task; system level information; temporal level information; user defined class divisions; Animals; Cardiac arrest; Defibrillation; Demography; Drugs; Electrocardiography; Humans; Information analysis; Pattern analysis; Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.745848

Filename

745848