Repository logo
 
Publication

Visualization of multivariate physiological data for cardiorespiratory fitness assessment through ECG (R-peak) analysis

2015Conference object Restricted access
Simple item page
dc.contributor.authorMuñoz, J. E.
dc.contributor.authorBermúdez i Badia, Sergi
dc.contributor.authorRubio, E.
dc.contributor.authorCameirão, M. S.
dc.date.accessioned2019-12-05T15:26:11Z
dc.date.available2019-12-05T15:26:11Z
dc.date.issued2015
dc.description.abstractThe recent rise and popularization of wearable and ubiquitous fitness sensors has increased our ability to generate large amounts of multivariate data for cardiorespiratory fitness (CRF) assessment. Consequently, there is a need to find new methods to visualize and interpret CRF data without overwhelming users. Current visualizations of CRF data are mainly tabular or in the form of stacked univariate plots. Moreover, normative data differs significantly between gender, age and activity, making data interpretation yet more challenging. Here we present a CRF assessment tool based on radar plots that provides a way to represent multivariate cardiorespiratory data from electrocardiographic (ECG) signals within its normative context. To that end, 5 parameters are extracted from raw ECG data using R-peak information: mean HR, SDNN, RMSSD, HRVI and the maximal oxygen uptake, VO2max. Our tool processes ECG data and produces a visualization of the data in a way that it is easy to compare between the performance of the user and normative data. This type of representation can assist both health professionals and non-expert users in the interpretation of CRF data.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMuñoz, J. E., Bermúdez i Badia, S., Rubio, E., & Cameirão, M. S. (2015). Visualization of multivariate physiological data for cardiorespiratory fitness assessment through ECG (R-peak) analysis. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 390-393). IEEE.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/2622
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relationAHA: Augmented Human Assistance
dc.subjectCardiorespiratory fitness assessment through ECG (R-Peak) analysispt_PT
dc.subjectVisualization of multivariate physiological datapt_PT
dc.subjectMultivariate physiological datapt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleVisualization of multivariate physiological data for cardiorespiratory fitness assessment through ECG (R-peak) analysispt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleAHA: Augmented Human Assistance
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5665-PICT/CMUP-ERI%2FHCI%2F0046%2F2013/PT
oaire.citation.endPage393pt_PT
oaire.citation.startPage390pt_PT
oaire.citation.title2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)pt_PT
oaire.fundingStream5665-PICT
person.familyNameBermúdez i Badia
person.familyNameGouveia
person.familyNameCameirão
person.givenNameSergi
person.givenNameÉlvio Rúbio
person.givenNameMónica
person.identifier239789
person.identifier.ciencia-idCA17-5E88-2B37
person.identifier.ciencia-id3B10-8BDF-0D67
person.identifier.ciencia-id0A12-4F21-0CC2
person.identifier.orcid0000-0003-4452-0414
person.identifier.orcid0000-0003-0927-692X
person.identifier.orcid0000-0002-5352-0128
person.identifier.ridC-8681-2018
person.identifier.ridC-8675-2018
person.identifier.scopus-author-id6506360007
person.identifier.scopus-author-id21740694600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationef8f1e3b-3c09-4817-80d0-d96aa88051a2
relation.isAuthorOfPublicationbac4d787-0647-4e23-82d0-0a905ddcd3e1
relation.isAuthorOfPublication644f9f6a-81be-4b72-9ded-6eb1b8e251f4
relation.isAuthorOfPublication.latestForDiscoverybac4d787-0647-4e23-82d0-0a905ddcd3e1
relation.isProjectOfPublication15913ce4-5392-4ce6-ab2f-1b155da9c18d
relation.isProjectOfPublication.latestForDiscovery15913ce4-5392-4ce6-ab2f-1b155da9c18d

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Visualization of multivariate physiological data for cardiorespiratory fitness assessment through ECG (R-peak) analysis.pdf
Size:
979.56 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Publicações em Atas de Congressos/Conferências, etc.