Brno University of Technology Smartphone PPG Database (BUT PPG): Annotated Dataset for PPG Quality Assessment and Heart Rate Estimation
To the best of our knowledge, there is no annotated database of PPG signals recorded by smartphone publicly available. This article introduces Brno University of Technology Smartphone PPG Database (BUT PPG) which is an original database created by the cardiology team at the Department of Biomedical...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2021/3453007 |
id |
doaj-bb8bc9d2a6c74c4380fcc2d90cece442 |
---|---|
record_format |
Article |
spelling |
doaj-bb8bc9d2a6c74c4380fcc2d90cece4422021-09-20T00:29:06ZengHindawi LimitedBioMed Research International2314-61412021-01-01202110.1155/2021/3453007Brno University of Technology Smartphone PPG Database (BUT PPG): Annotated Dataset for PPG Quality Assessment and Heart Rate EstimationAndrea Nemcova0Enikö Vargova1Radovan Smisek2Lucie Marsanova3Lukas Smital4Martin Vitek5Department of Biomedical EngineeringDepartment of Biomedical EngineeringDepartment of Biomedical EngineeringDepartment of Biomedical EngineeringDepartment of Biomedical EngineeringDepartment of Biomedical EngineeringTo the best of our knowledge, there is no annotated database of PPG signals recorded by smartphone publicly available. This article introduces Brno University of Technology Smartphone PPG Database (BUT PPG) which is an original database created by the cardiology team at the Department of Biomedical Engineering, Brno University of Technology, for the purpose of evaluating photoplethysmographic (PPG) signal quality and estimation of heart rate (HR). The data comprises 48 10-second recordings of PPGs and associated electrocardiographic (ECG) signals used for determination of reference HR. The data were collected from 12 subjects (6 female, 6 male) aged between 21 and 61. PPG data were collected by smartphone Xiaomi Mi9 with sampling frequency of 30 Hz. Reference ECG signals were recorded using a mobile ECG recorder (Bittium Faros 360) with a sampling frequency of 1,000 Hz. Each PPG signal includes annotation of quality created manually by biomedical experts and reference HR. PPG signal quality is indicated binary: 1 indicates good quality for HR estimation, 0 indicates signals where HR cannot be detected reliably, and thus, these signals are unsuitable for further analysis. As the only available database containing PPG signals recorded by smartphone, BUT PPG is a unique tool for the development of smart, user-friendly, cheap, on-the-spot, self-home-monitoring of heart rate with the potential of widespread using.http://dx.doi.org/10.1155/2021/3453007 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Andrea Nemcova Enikö Vargova Radovan Smisek Lucie Marsanova Lukas Smital Martin Vitek |
spellingShingle |
Andrea Nemcova Enikö Vargova Radovan Smisek Lucie Marsanova Lukas Smital Martin Vitek Brno University of Technology Smartphone PPG Database (BUT PPG): Annotated Dataset for PPG Quality Assessment and Heart Rate Estimation BioMed Research International |
author_facet |
Andrea Nemcova Enikö Vargova Radovan Smisek Lucie Marsanova Lukas Smital Martin Vitek |
author_sort |
Andrea Nemcova |
title |
Brno University of Technology Smartphone PPG Database (BUT PPG): Annotated Dataset for PPG Quality Assessment and Heart Rate Estimation |
title_short |
Brno University of Technology Smartphone PPG Database (BUT PPG): Annotated Dataset for PPG Quality Assessment and Heart Rate Estimation |
title_full |
Brno University of Technology Smartphone PPG Database (BUT PPG): Annotated Dataset for PPG Quality Assessment and Heart Rate Estimation |
title_fullStr |
Brno University of Technology Smartphone PPG Database (BUT PPG): Annotated Dataset for PPG Quality Assessment and Heart Rate Estimation |
title_full_unstemmed |
Brno University of Technology Smartphone PPG Database (BUT PPG): Annotated Dataset for PPG Quality Assessment and Heart Rate Estimation |
title_sort |
brno university of technology smartphone ppg database (but ppg): annotated dataset for ppg quality assessment and heart rate estimation |
publisher |
Hindawi Limited |
series |
BioMed Research International |
issn |
2314-6141 |
publishDate |
2021-01-01 |
description |
To the best of our knowledge, there is no annotated database of PPG signals recorded by smartphone publicly available. This article introduces Brno University of Technology Smartphone PPG Database (BUT PPG) which is an original database created by the cardiology team at the Department of Biomedical Engineering, Brno University of Technology, for the purpose of evaluating photoplethysmographic (PPG) signal quality and estimation of heart rate (HR). The data comprises 48 10-second recordings of PPGs and associated electrocardiographic (ECG) signals used for determination of reference HR. The data were collected from 12 subjects (6 female, 6 male) aged between 21 and 61. PPG data were collected by smartphone Xiaomi Mi9 with sampling frequency of 30 Hz. Reference ECG signals were recorded using a mobile ECG recorder (Bittium Faros 360) with a sampling frequency of 1,000 Hz. Each PPG signal includes annotation of quality created manually by biomedical experts and reference HR. PPG signal quality is indicated binary: 1 indicates good quality for HR estimation, 0 indicates signals where HR cannot be detected reliably, and thus, these signals are unsuitable for further analysis. As the only available database containing PPG signals recorded by smartphone, BUT PPG is a unique tool for the development of smart, user-friendly, cheap, on-the-spot, self-home-monitoring of heart rate with the potential of widespread using. |
url |
http://dx.doi.org/10.1155/2021/3453007 |
work_keys_str_mv |
AT andreanemcova brnouniversityoftechnologysmartphoneppgdatabasebutppgannotateddatasetforppgqualityassessmentandheartrateestimation AT enikovargova brnouniversityoftechnologysmartphoneppgdatabasebutppgannotateddatasetforppgqualityassessmentandheartrateestimation AT radovansmisek brnouniversityoftechnologysmartphoneppgdatabasebutppgannotateddatasetforppgqualityassessmentandheartrateestimation AT luciemarsanova brnouniversityoftechnologysmartphoneppgdatabasebutppgannotateddatasetforppgqualityassessmentandheartrateestimation AT lukassmital brnouniversityoftechnologysmartphoneppgdatabasebutppgannotateddatasetforppgqualityassessmentandheartrateestimation AT martinvitek brnouniversityoftechnologysmartphoneppgdatabasebutppgannotateddatasetforppgqualityassessmentandheartrateestimation |
_version_ |
1717375263350718464 |