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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-1-4799-8267-7

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

112-117

Název nakladatele

IEE

Místo vydání

London

Místo konání akce

Luton

Datum konání akce

29. 7. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000378416600010