Fast Fourier Transform for Feature Extraction And Neural Network for Classification of Electrocardiogram Signals

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F15%3A00233064" target="_blank" >RIV/68407700:21220/15:00233064 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/FGCT.2015.7300244" target="_blank" >http://dx.doi.org/10.1109/FGCT.2015.7300244</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/FGCT.2015.7300244" target="_blank" >10.1109/FGCT.2015.7300244</a>

Result language

angličtina

Original language name

Fast Fourier Transform for Feature Extraction And Neural Network for Classification of Electrocardiogram Signals

Original language description

This paper presents a novel approach to complex classification of heart abnormalities registered by electrocardiogram signals. It uses a combined approach of a Fast Fourier Technique for signal filtering and R-peaks detection and heart rate extraction, followed by signal modelling and This paper presents a novel approach to complex classification of heart abnormalities registered by electrocardiogram signals. It uses a combined approach of a Fast Fourier Technique for signal filtering and R-peaks detection and heart rate extraction, followed by signal modelling and This paper presents a novel approach to komplex classification of heart abnormalities registered by electrocardiogram signals. It uses a This paper presents a novel approach to complex classification of heart abnormalities registered by electrocardiogram signals. It uses a combined approach of a Fast Fourier Technique for signal filtering and R-peaks detection and heart rate extraction, followed by signal modeling and classification by neural network based on recording of ECG. Obtained information is processed together for a complex evaluation of the signal in time.

Czech name

—

Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

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

Article name in the collection

The Fourth International Conference on Future Generation Communication Technologies (FGCT 2015)

ISBN

978-1-4799-8267-7

ISSN

—

e-ISSN

—

Number of pages

6

Pages from-to

112-117

Publisher name

IEE

Place of publication

London

Event location

Luton

Event date

Jul 29, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000378416600010