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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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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. |
format | Online Article Text |
id | pubmed-6880112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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