Application For Heart Rate Estimation Using Smartphone
but.event.date | 23.04.2020 | cs |
but.event.title | Student EEICT 2020 | cs |
dc.contributor.author | Šara, Kryštof | |
dc.date.accessioned | 2021-07-15T13:12:40Z | |
dc.date.available | 2021-07-15T13:12:40Z | |
dc.date.issued | 2020 | cs |
dc.description.abstract | This work deals with estimation of the human heart rate (HR) using a mobile phone camera. The goal was to create a functional application for a smartphone with a real-time HR detection. A preliminary functional algorithm was tested on a sample of 10 independent subjects and a mean deviation of 8.3 beats per minute (BPM), relative to an ECG reference record, was reached. Considering only visibly calm subjects, the mean deviation was 1.5 BPM. | en |
dc.format | text | cs |
dc.format.extent | 32-35 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings II of the 26st Conference STUDENT EEICT 2020: Selected Papers. s. 32-35. ISBN 978-80-214-5868-0 | cs |
dc.identifier.isbn | 978-80-214-5868-0 | |
dc.identifier.uri | http://hdl.handle.net/11012/200664 | |
dc.language.iso | en | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings II of the 26st Conference STUDENT EEICT 2020: Selected papers | en |
dc.relation.uri | https://conf.feec.vutbr.cz/eeict/EEICT2020 | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | photopletysmogram | en |
dc.subject | PPG | en |
dc.subject | heart rate | en |
dc.subject | HR | en |
dc.subject | mobile application | en |
dc.subject | Swift | en |
dc.subject | iOS | en |
dc.subject | electrocardiogram | en |
dc.subject | ECG | en |
dc.subject | online detection of HR | en |
dc.subject | Matlab | en |
dc.subject | mHealth | en |
dc.subject | telemedicine | en |
dc.title | Application For Heart Rate Estimation Using Smartphone | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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