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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Published in | Data in brief Vol. 27; p. 104793 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier Inc
01.12.2019
Elsevier |
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Abstract | 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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AbstractList | 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.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. 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. 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. Keywords: Sport acquisition, Exercise, Electrocardiogram, Heart-rate series, Breathing-rate series |
ArticleNumber | 104793 |
Author | Maranesi, Elvira Marcantoni, Ilaria Riccardi, Giovanni R. Burattini, Laura Nasim, Amnah Bevilacqua, Roberta Morettini, Micaela Sbrollini, Agnese |
AuthorAffiliation | a Cardiovascular Bioengineering Lab, Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy b Clinical Unit of Physical Rehabilitation, IRCCS INRCA, Ancona, Italy c Scientific Direction, IRCCS INRCA, Ancona, Italy |
AuthorAffiliation_xml | – name: a Cardiovascular Bioengineering Lab, Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy – name: c Scientific Direction, IRCCS INRCA, Ancona, Italy – name: b Clinical Unit of Physical Rehabilitation, IRCCS INRCA, Ancona, Italy |
Author_xml | – sequence: 1 givenname: Agnese orcidid: 0000-0002-9152-7216 surname: Sbrollini fullname: Sbrollini, Agnese organization: Cardiovascular Bioengineering Lab, Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy – sequence: 2 givenname: Micaela orcidid: 0000-0002-8327-8379 surname: Morettini fullname: Morettini, Micaela organization: Cardiovascular Bioengineering Lab, Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy – sequence: 3 givenname: Elvira surname: Maranesi fullname: Maranesi, Elvira organization: Clinical Unit of Physical Rehabilitation, IRCCS INRCA, Ancona, Italy – sequence: 4 givenname: Ilaria surname: Marcantoni fullname: Marcantoni, Ilaria organization: Cardiovascular Bioengineering Lab, Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy – sequence: 5 givenname: Amnah surname: Nasim fullname: Nasim, Amnah organization: Cardiovascular Bioengineering Lab, Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy – sequence: 6 givenname: Roberta surname: Bevilacqua fullname: Bevilacqua, Roberta organization: Scientific Direction, IRCCS INRCA, Ancona, Italy – sequence: 7 givenname: Giovanni R. surname: Riccardi fullname: Riccardi, Giovanni R. organization: Clinical Unit of Physical Rehabilitation, IRCCS INRCA, Ancona, Italy – sequence: 8 givenname: Laura orcidid: 0000-0002-9474-7046 surname: Burattini fullname: Burattini, Laura email: l.burattini@univpm.it organization: Cardiovascular Bioengineering Lab, Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy |
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Keywords | Heart-rate series Breathing-rate series Exercise Sport acquisition Electrocardiogram |
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References | Sbrollini, Caraceni, Nasim, Marcantoni, Morettini, Belli, Pierleoni, Burattini (bib8) 2019 de Bruijn, van der Worp, Korte, de Vries, Nijland, Brink (bib4) 2018 Nepi, Sbrollini, Agostinelli, Maranesi, Morettini, Di Nardo, Fioretti, Pierleoni, Pernini, Valenti, Burattini (bib5) 2016 Agostinelli, Morettini, Sbrollini, Maranesi, Migliorelli, Di Nardo, Fioretti, Burattini (bib1) 2017 Al Ahmad, Ahmed (bib3) 2018 Massaroni, Nicolò, Lo Presti, Sacchetti, Silvestri, Schena (bib6) 2019 Conconi, Ferrari, Ziglio, Droghetti, Codeca (bib7) 2017 Nazari, MacDermid, Sinden, Richardson, Tang (bib2) 2019 Conconi (10.1016/j.dib.2019.104793_bib7) 2017 Agostinelli (10.1016/j.dib.2019.104793_bib1) 2017 Massaroni (10.1016/j.dib.2019.104793_bib6) 2019 de Bruijn (10.1016/j.dib.2019.104793_bib4) 2018 Nazari (10.1016/j.dib.2019.104793_bib2) 2019 Nepi (10.1016/j.dib.2019.104793_bib5) 2016 Al Ahmad (10.1016/j.dib.2019.104793_bib3) 2018 Sbrollini (10.1016/j.dib.2019.104793_bib8) 2019 |
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Snippet | Sport Database is a collection of 126 cardiorespiratory data, acquired through wearable sensors from 81 subjects while practicing 10 different sports. Each... |
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SubjectTerms | alcohol drinking Breathing-rate series chest data collection death Electrocardiogram electrocardiography Engineering Exercise gender heart rate Heart-rate series risk Sport acquisition sports surveys |
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Title | Sport Database: Cardiorespiratory data acquired through wearable sensors while practicing sports |
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