Biological Data Preprocessing: A Case Study

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F03%3A03087919" target="_blank" >RIV/68407700:21220/03:03087919 - 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

Biological Data Preprocessing: A Case Study

Original language description

This paper presents two case studies illustrating the problem of data pre-processing as the first step in computer-aided analysis of biological signals used in clinical decision support. Methods for data extraction from ECG and EEG signals are described.We show the differences between these two signal types and the reasons why different transforms are used for their pre-processing. Analysis of ECG records is performed by the wavelet transform, and analysis of EEG records is performed by the Fourier transform. 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. Adaptive segmentation abstracts the EEG signal data into stationary segments and the Fourier transform calculates their basic characteristics. In both cases extracted data are used as inputs for learning methods.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

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

Article name in the collection

Intelligent and Adaptive Systems in Medicine

ISBN

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ISSN

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e-ISSN

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Number of pages

23

Pages from-to

77-99

Publisher name

CVUT FEL Praha

Place of publication

Praha

Event location

Praha

Event date

Mar 31, 2003

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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