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Real-time Modeling of Abnormal Physiological Signals in a Phantom for Bioengineering Education

2020-04Conference object Restricted access
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dc.contributor.authorVieira, Helder
dc.contributor.authorCosta, Nelson
dc.contributor.authorCoelho, Luis Filipe Pinto
dc.contributor.authorAlves, Joaquim
dc.date.accessioned2021-04-01T15:33:00Z
dc.date.embargo2100
dc.date.issued2020-04
dc.description.abstractIn clinical practice and in particular in the diagnostic process, the assessment of cardiac and respiratory functions is supported by electrocardiogram and auscultation. These exams are non-invasive, quick and inexpensive to perform and easy to interpret. For these reasons, this type of assessment is a constant in the daily life of a clinician and the information obtained is central to the decision making process. Therefore, it is essential that during their training, students of health-related subjects acquire skills in the acquisition and evaluation of the referred physiological signals. Simulation, considering the technological possibilities of today, is an excellent preparation tool since it exposes trainees to near real contexts but without the associated risks. Hence, the simulation of physiological signals plays an important role in the education of healthcare professionals, bioengineering professionals and also in the development and calibration of medical devices. This paper describes a project to develop synchronized electrocardiogram (ECG), phonocardiogram (PCG) and breathing sounds simulators that aims to improve an existing phantom simulator. The developed system allows, in an integrated way, to generate normal and pathological signals, being contemplated several distinct pathologies. For engineering education, it is also possible to simulate the introduction of signal disturbances or hardware malfunctions. A graphical interface allows changing operating parameters in real time.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/EDUCON45650.2020.9125155pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/17760
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9125155pt_PT
dc.subjectBiomedical signalspt_PT
dc.subjectECGpt_PT
dc.subjectPCGpt_PT
dc.subjectBreathing soundspt_PT
dc.subjectSimulationpt_PT
dc.subjectModelingpt_PT
dc.subjectBioengineering educationpt_PT
dc.titleReal-time Modeling of Abnormal Physiological Signals in a Phantom for Bioengineering Educationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage1211pt_PT
oaire.citation.startPage1206pt_PT
oaire.citation.title2020 IEEE Global Engineering Education Conference (EDUCON)pt_PT
person.familyNameVieira
person.familyNameAlves
person.givenNameHelder
person.givenNameJoaquim
person.identifierR-000-7HN
person.identifier.ciencia-id4314-4922-69A3
person.identifier.orcid0000-0002-6851-2876
person.identifier.orcid0000-0001-6787-996X
person.identifier.ridR-7686-2016
person.identifier.scopus-author-id16021380600
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationc2ccf513-be54-4598-93ab-7ea7afa57ec6
relation.isAuthorOfPublicationca7481eb-a85d-4e96-b739-e1d5b1699fa1
relation.isAuthorOfPublication.latestForDiscoveryca7481eb-a85d-4e96-b739-e1d5b1699fa1

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