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Extension of the PhysioNet Brno University of Technology Smartphone PPG Database

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Extension of the PhysioNet Brno University of Technology Smartphone PPG Database

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Computing in Cardiology 2024

  • ISBN

  • ISSN

  • e-ISSN

    2325-887X

  • Number of pages

    4

  • Pages from-to

  • Publisher name

  • Place of publication

  • Event location

    Karlsruhe

  • Event date

    Sep 8, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article