Evaluation of ECG: Comparison of Decision Tree and Fuzzy Rules Induction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03096799" target="_blank" >RIV/68407700:21230/04:03096799 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Evaluation of ECG: Comparison of Decision Tree and Fuzzy Rules Induction

Original language description

This paper compares two different approaches to computer-aided analysis of ECG signals. ECG records are preprocessed by the wavelet transform, and the machine learning method of decision trees and fuzzy rules induction are used for classification. The wavelet transform allows good localisation of QRS complexes, P and T waves in time and amplitude. The average accuracy of detection of all events is above 87 per cent. For learning and further classification we use Quinlan's See5 application and FURL (FUzzy Rule Learner). We used the MIT-BIH database for experiments. Diverse settings of the parameters for decision tree generation (tree pruning, attribute selection, class sets) were examined. Two datasets and diverse settings of fuzzysets were examined aswell.

Czech name

Není k dispozici

Czech description

Není k dispozici

Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2004

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Cybernetics and Systems 2004

ISBN

3-85206-169-5

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

713-718

Publisher name

Austrian Society for Cybernetics Studies

Place of publication

Vienna

Event location

Vienna

Event date

Apr 13, 2004

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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