Blood pressure estimation using smartphone

Simple item page
but.event.date25.04.2023cs
but.event.titleSTUDENT EEICT 2023cs
dc.contributor.authorŠíma, Jan
dc.contributor.authorNěmcová, Andrea
dc.date.accessioned2023-07-17T05:57:34Z
dc.date.available2023-07-17T05:57:34Z
dc.date.issued2023cs
dc.description.abstractThis paper presents an experimental cuff-less measurementof systolic (SBP) and diastolic blood pressure (DBP)using smartphone. A photoplethysmographic signal (PPG) measuredby a smartphone camera is used to estimate blood pressure(BP). This paper contains comparison of several machinelearning (ML) methods for BP estimation. Filtering the PPGsignal with a band-pass filter (0.5-12 Hz) followed by featureextraction and using Random Forest (RF) methods separatelyor as a weak regressor in adaptive boosting (AdaBoost) or bootstrapaggregating (Boosting) reached the best results accordingto Association for the Advancement of Medical Instrumentation(AAMI) and British Hypertension Society (BHS) standardsamong all regression ML models. The mean absolute error(MAE) and standard deviation (SD) of Bagging model were4.532±3.760 mmHg for SBP and 2.738±3.032 mmHg for DBP(AAMI). This result meets the criteria of the AAMI standard.en
dc.formattextcs
dc.format.extent129-132cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings II of the 29st Conference STUDENT EEICT 2023: Selected papers. s. 129-132. ISBN 978-80-214-6154-3cs
dc.identifier.doi10.13164/eeict.2023.129
dc.identifier.isbn978-80-214-6154-3
dc.identifier.issn2788-1334
dc.identifier.urihttp://hdl.handle.net/11012/210673
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings II of the 29st Conference STUDENT EEICT 2023: Selected papersen
dc.relation.urihttps://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdfcs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectblood pressure estimationen
dc.subjectcuff-less measurementof blood pressureen
dc.subjectmachine learningen
dc.titleBlood pressure estimation using smartphoneen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
129_EEICT_selected.pdf
Size:
711.43 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Student EEICT 2023: Selected Papers