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Accuracy of heart rate variability estimation by photoplethysmography using an smartphone : processing optimization and fiducial point selection
dc.contributor.author | Ferrer Mileo, Víctor |
dc.contributor.author | Guede Fernández, Federico |
dc.contributor.author | Fernández Chimeno, Mireya |
dc.contributor.author | Ramos Castro, Juan José |
dc.contributor.author | García González, Miguel Ángel |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica |
dc.date.accessioned | 2016-03-31T15:49:34Z |
dc.date.available | 2016-03-31T15:49:34Z |
dc.date.issued | 2015 |
dc.identifier.citation | Ferrer, V., Guede, F., Fernandez, M., Ramos, J., Garcia, M. Accuracy of heart rate variability estimation by photoplethysmography using an smartphone : processing optimization and fiducial point selection. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "Proceedings of the Engineering in Medicine and Biology Society (EMBC), 2015". Milan: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 5700-5703. |
dc.identifier.isbn | 978-1-4244-9270-1 |
dc.identifier.uri | http://hdl.handle.net/2117/85019 |
dc.description.abstract | This work compares several fiducial points to detect the arrival of a new pulse in a photoplethysmographic signal using the built-in camera of smartphones or a photoplethysmograph. Also, an optimization process for the signal preprocessing stage has been done. Finally we characterize the error produced when we use the best cutoff frequencies and fiducial point for smartphones and photopletysmograph and compare if the error of smartphones can be reasonably be explained by variations in pulse transit time. The results have revealed that the peak of the first derivative and the minimum of the second derivative of the pulse wave have the lowest error. Moreover, for these points, high pass filtering the signal between 0.1 to 0.8 Hz and low pass around 2.7 Hz or 3.5 Hz are the best cutoff frequencies. Finally, the error in smartphones is slightly higher than in a photoplethysmograph |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria electrònica |
dc.subject | Àrees temàtiques de la UPC::Enginyeria biomèdica |
dc.title | Accuracy of heart rate variability estimation by photoplethysmography using an smartphone : processing optimization and fiducial point selection |
dc.type | Conference report |
dc.subject.lemac | Enginyeria biomèdica |
dc.subject.lemac | Monitoratge de pacients |
dc.contributor.group | Universitat Politècnica de Catalunya. IEB - Instrumentació Electrònica i Biomèdica |
dc.identifier.doi | 10.1109/EMBC.2015.7319686 |
dc.relation.publisherversion | ieeexplore.ieee.org |
dc.rights.access | Open Access |
local.identifier.drac | 17239342 |
dc.description.version | Postprint (published version) |
local.citation.author | Ferrer, V.; Guede, F.; Fernandez, M.; Ramos, J.; Garcia, M. |
local.citation.contributor | Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
local.citation.pubplace | Milan |
local.citation.publicationName | Proceedings of the Engineering in Medicine and Biology Society (EMBC), 2015 |
local.citation.startingPage | 5700 |
local.citation.endingPage | 5703 |