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Sport Database: Cardiorespiratory data acquired through wearable sensors while practicing sports

Sport Database is a collection of 126 cardiorespiratory data, acquired through wearable sensors from 81 subjects while practicing 10 different sports. Each cardiorespiratory dataset consists of demographic info (gender, age, weight, height, smoking habit, alcohol consumption and weekly training rate...

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Autores principales: Sbrollini, Agnese, Morettini, Micaela, Maranesi, Elvira, Marcantoni, Ilaria, Nasim, Amnah, Bevilacqua, Roberta, Riccardi, Giovanni R., Burattini, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880112/
https://www.ncbi.nlm.nih.gov/pubmed/31788519
http://dx.doi.org/10.1016/j.dib.2019.104793
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author Sbrollini, Agnese
Morettini, Micaela
Maranesi, Elvira
Marcantoni, Ilaria
Nasim, Amnah
Bevilacqua, Roberta
Riccardi, Giovanni R.
Burattini, Laura
author_facet Sbrollini, Agnese
Morettini, Micaela
Maranesi, Elvira
Marcantoni, Ilaria
Nasim, Amnah
Bevilacqua, Roberta
Riccardi, Giovanni R.
Burattini, Laura
author_sort Sbrollini, Agnese
collection PubMed
description Sport Database is a collection of 126 cardiorespiratory data, acquired through wearable sensors from 81 subjects while practicing 10 different sports. Each cardiorespiratory dataset consists of demographic info (gender, age, weight, height, smoking habit, alcohol consumption and weekly training rate), cardiorespiratory signals (electrocardiogram, heart-rate series, RR-interval series and breathing-rate series) and training notes. Demographic info was collected by survey. Cardiorespiratory signals were acquired through the chest strap BioHarness 3.0 by Zephyr. Eventually, training notes including the sport-dependent training protocol, were manually annotated. Sport Database may be useful to support: 1) the investigation of cardiorespiratory system adaptations to different types of physical exercise; 2) the development of automatic algorithms finalized to real-time health monitoring of athletes and preventive identification of subjects at increased risk of sport-related sudden cardiac death; and, 3) clinical testing of the BioHarness 3.0 by Zephyr. Further acquisitions could involve other sports, other cardiovascular signals and/or parameters, data from different biological systems, and other acquisition devices.
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spelling pubmed-68801122019-11-29 Sport Database: Cardiorespiratory data acquired through wearable sensors while practicing sports Sbrollini, Agnese Morettini, Micaela Maranesi, Elvira Marcantoni, Ilaria Nasim, Amnah Bevilacqua, Roberta Riccardi, Giovanni R. Burattini, Laura Data Brief Engineering Sport Database is a collection of 126 cardiorespiratory data, acquired through wearable sensors from 81 subjects while practicing 10 different sports. Each cardiorespiratory dataset consists of demographic info (gender, age, weight, height, smoking habit, alcohol consumption and weekly training rate), cardiorespiratory signals (electrocardiogram, heart-rate series, RR-interval series and breathing-rate series) and training notes. Demographic info was collected by survey. Cardiorespiratory signals were acquired through the chest strap BioHarness 3.0 by Zephyr. Eventually, training notes including the sport-dependent training protocol, were manually annotated. Sport Database may be useful to support: 1) the investigation of cardiorespiratory system adaptations to different types of physical exercise; 2) the development of automatic algorithms finalized to real-time health monitoring of athletes and preventive identification of subjects at increased risk of sport-related sudden cardiac death; and, 3) clinical testing of the BioHarness 3.0 by Zephyr. Further acquisitions could involve other sports, other cardiovascular signals and/or parameters, data from different biological systems, and other acquisition devices. Elsevier 2019-11-12 /pmc/articles/PMC6880112/ /pubmed/31788519 http://dx.doi.org/10.1016/j.dib.2019.104793 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Engineering
Sbrollini, Agnese
Morettini, Micaela
Maranesi, Elvira
Marcantoni, Ilaria
Nasim, Amnah
Bevilacqua, Roberta
Riccardi, Giovanni R.
Burattini, Laura
Sport Database: Cardiorespiratory data acquired through wearable sensors while practicing sports
title Sport Database: Cardiorespiratory data acquired through wearable sensors while practicing sports
title_full Sport Database: Cardiorespiratory data acquired through wearable sensors while practicing sports
title_fullStr Sport Database: Cardiorespiratory data acquired through wearable sensors while practicing sports
title_full_unstemmed Sport Database: Cardiorespiratory data acquired through wearable sensors while practicing sports
title_short Sport Database: Cardiorespiratory data acquired through wearable sensors while practicing sports
title_sort sport database: cardiorespiratory data acquired through wearable sensors while practicing sports
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880112/
https://www.ncbi.nlm.nih.gov/pubmed/31788519
http://dx.doi.org/10.1016/j.dib.2019.104793
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