Application of SWT for Heart Rate Monitoring Using Smartphone Camera

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU124439" target="_blank" >RIV/00216305:26220/17:PU124439 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.radio.feec.vutbr.cz/ieee/userfiles/downloads/archive/2017-Mikulov/Proceedings_Mikulov_2017.pdf" target="_blank" >http://www.radio.feec.vutbr.cz/ieee/userfiles/downloads/archive/2017-Mikulov/Proceedings_Mikulov_2017.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Application of SWT for Heart Rate Monitoring Using Smartphone Camera

Popis výsledku v původním jazyce

Monitoring of heart rate using smartphone is very popular nowadays. There exist some applications for smartphone with usually unknown accuracy. But there is no certified application for this purpose. The article introduces new method for heart rate monitoring which uses smartphone´s built-in camera and LED light. The algorithm is based on extraction of photoplethysmogram and use of stationary wavelet transform. 52 various wavelets were tested in terms of their suitability for heart rate monitoring. The accuracy is compared with heart rate estimated from electrocardiogram. In the range of 55-111 bpm, the heart rate can be estimated with mean error of 0.4093 bpm and maximum error of 0.8458 bpm. The recommended settings of the algorithm is to use green photoplethysmogram (green color channel of the video), provide stationary wavelet transform with 6-level decomposition, rbio2.4 wavelet, and calculate heart rate using PPG peaks’ distance. Data of lower and higher heart rate were tested as well.

Název v anglickém jazyce

Application of SWT for Heart Rate Monitoring Using Smartphone Camera

Popis výsledku anglicky

Monitoring of heart rate using smartphone is very popular nowadays. There exist some applications for smartphone with usually unknown accuracy. But there is no certified application for this purpose. The article introduces new method for heart rate monitoring which uses smartphone´s built-in camera and LED light. The algorithm is based on extraction of photoplethysmogram and use of stationary wavelet transform. 52 various wavelets were tested in terms of their suitability for heart rate monitoring. The accuracy is compared with heart rate estimated from electrocardiogram. In the range of 55-111 bpm, the heart rate can be estimated with mean error of 0.4093 bpm and maximum error of 0.8458 bpm. The recommended settings of the algorithm is to use green photoplethysmogram (green color channel of the video), provide stationary wavelet transform with 6-level decomposition, rbio2.4 wavelet, and calculate heart rate using PPG peaks’ distance. Data of lower and higher heart rate were tested as well.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20204 - Robotics and automatic control

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of IEEE Student Branch Conference Mikulov 2017

ISBN

978-80-214-5526-9

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

49-52

Název nakladatele

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Místo vydání

Brno

Místo konání akce

Mikulov, Czech republic

Datum konání akce

28. 8. 2017

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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