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Facial video-based photoplethysmography to detect HRV at rest
dc.contributor.author | Moreno Sánchez, Jordi |
dc.contributor.author | Ramos Castro, Juan José |
dc.contributor.author | Movellan, J |
dc.contributor.author | Parrado Romero, Eva |
dc.contributor.author | Rodas Font, Gil |
dc.contributor.author | Capdevila Ortis, Lluís |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica |
dc.date.accessioned | 2016-03-30T18:18:17Z |
dc.date.issued | 2015-06-01 |
dc.identifier.citation | Moreno, J., Ramos, J., Movellan, J., Parrado , E., Rodas, G., Capdevila, L. Facial video-based photoplethysmography to detect HRV at rest. "International journal of sports medicine", 01 Juny 2015, vol. 36, núm. 6, p. 474-480. |
dc.identifier.issn | 0172-4622 |
dc.identifier.uri | http://hdl.handle.net/2117/84918 |
dc.description.abstract | Our aim is to demonstrate the usefulness of photoplethysmography (PPG) for analyzing heart rate variability (HRV) using a standard 5-min test at rest with paced breathing, comparing the results with real RR intervals and testing supine and sitting positions. Simultaneous recordings of R-R intervals were conducted with a Polar system and a non-contact PPG, based on facial video recording on 20 individuals. Data analysis and editing were performed with individually designated software for each instrument. Agreement on HRV parameters was assessed with concordance correlations, effect size from ANOVA and Bland and Altman plots. For supine position, differences between video and Polar systems showed a small effect size in most HRV parameters. For sitting position, these differences showed a moderate effect size in most HRV parameters. A new procedure, based on the pixels that contained more heart beat information, is proposed for improving the signal-to-noise ratio in the PPG video signal. Results were acceptable in both positions but better in the supine position. Our approach could be relevant for applications that require monitoring of stress or cardio-respiratory health, such as effort/recuperation states in sports. |
dc.format.extent | 7 p. |
dc.language.iso | eng |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo |
dc.subject | Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica::Electrònica en cardiologia |
dc.subject.lcsh | Image processing -- Digital techniques |
dc.subject.lcsh | Heart beat -- Physiology |
dc.subject.other | Photoplethysmography |
dc.subject.other | Heart rate variability |
dc.subject.other | Facial video signal |
dc.subject.other | Cardio-respiratory fitness |
dc.subject.other | Autonomic nervous system |
dc.subject.other | Computer vision |
dc.subject.other | Heart-rate-variability |
dc.subject.other | Pulse-rate variability |
dc.subject.other | R-R intervals |
dc.subject.other | Physiological interpretation |
dc.subject.other | Clinical-use |
dc.subject.other | Rate monitor |
dc.subject.other | Polar RS800 |
dc.subject.other | Standards |
dc.subject.other | Validity |
dc.subject.other | Noncontact |
dc.title | Facial video-based photoplethysmography to detect HRV at rest |
dc.type | Article |
dc.subject.lemac | Imatges -- Processament -- Tècniques digitals |
dc.subject.lemac | Cor -- Batecs -- Fisiologia |
dc.identifier.doi | 10.1055/s-0034-1398530 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.ncbi.nlm.nih.gov/pubmed/25700104 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 16632774 |
dc.description.version | Preprint |
dc.date.lift | 10000-01-01 |
local.citation.author | Moreno, J.; Ramos, J.; Movellan, J.; Parrado, E.; Rodas, G.; Capdevila, L. |
local.citation.publicationName | International journal of sports medicine |
local.citation.volume | 36 |
local.citation.number | 6 |
local.citation.startingPage | 474 |
local.citation.endingPage | 480 |
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