Extension of the PhysioNet Brno University of Technology Smartphone PPG Database

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0191262" target="_blank" >RIV/00216305:26220/26:0191262 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.22489/CinC.2024.055" target="_blank" >http://dx.doi.org/10.22489/CinC.2024.055</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.22489/CinC.2024.055" target="_blank" >10.22489/CinC.2024.055</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Extension of the PhysioNet Brno University of Technology Smartphone PPG Database

Popis výsledku v původním jazyce

We introduce an extension of the PhysioNet Brno University of Technology Smartphone PPG Database (BUT PPG) suitable for health monitoring. BUT PPG is extended by PPG, ECG, and ACC signals recorded simultaneously in healthy subjects. RGB PPG signals were measured from the ear and finger by smartphone camera. The signals were measured either at rest or under various conditions causing artifacts. PPG signals were annotated in terms of quality into 2 classes (good/poor) by 3 experts and their consensus was provided. In ECGs, QRS complexes were detected and manually verified. The data are supplemented by glycaemia, blood pressure, and saturation values. The extension of the BUT PPG database includes 3,840 new 10s PPG signals from 38 subjects (19 males, 19 females, age 19-76). In the extension of the BUT PPG database, 21 % of signals are of good quality. Signals from the ear (n = 1,962) are of lower quality (11 % of good quality) than signals from the finger (n = 1,878) where 31 % of signals are of good quality. The dataset includes 49,540 manually verified heartbeat positions. The complete BUT PPG database includes 3,888 signals from 50 subjects. The database is primarily intended for the development of smartphone PPG quality assessment and heart rate estimation algorithms.

Název v anglickém jazyce

Extension of the PhysioNet Brno University of Technology Smartphone PPG Database

Popis výsledku anglicky

We introduce an extension of the PhysioNet Brno University of Technology Smartphone PPG Database (BUT PPG) suitable for health monitoring. BUT PPG is extended by PPG, ECG, and ACC signals recorded simultaneously in healthy subjects. RGB PPG signals were measured from the ear and finger by smartphone camera. The signals were measured either at rest or under various conditions causing artifacts. PPG signals were annotated in terms of quality into 2 classes (good/poor) by 3 experts and their consensus was provided. In ECGs, QRS complexes were detected and manually verified. The data are supplemented by glycaemia, blood pressure, and saturation values. The extension of the BUT PPG database includes 3,840 new 10s PPG signals from 38 subjects (19 males, 19 females, age 19-76). In the extension of the BUT PPG database, 21 % of signals are of good quality. Signals from the ear (n = 1,962) are of lower quality (11 % of good quality) than signals from the finger (n = 1,878) where 31 % of signals are of good quality. The dataset includes 49,540 manually verified heartbeat positions. The complete BUT PPG database includes 3,888 signals from 50 subjects. The database is primarily intended for the development of smartphone PPG quality assessment and heart rate estimation algorithms.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20601 - Medical engineering

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

Computing in Cardiology 2024

ISBN

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ISSN

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e-ISSN

2325-887X

Počet stran výsledku

4

Strana od-do

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Název nakladatele

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Místo vydání

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Místo konání akce

Karlsruhe

Datum konání akce

8. 9. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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