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ECG and sEMG Conditioning and Wireless Transmission with a Biosignal Acquisition Board

dc.contributor.authorLuiz, Luiz Eduardo
dc.contributor.authorCoutinho, Fábio R.
dc.contributor.authorTeixeira, João Paulo
dc.date.accessioned2024-10-08T14:08:05Z
dc.date.available2024-10-08T14:08:05Z
dc.date.issued2024
dc.description.abstractThe market for Wearable Health Monitoring Systems (WHMS) has grown together with the demand for devices that offer greater medical reliability and lower cost. This study introduces a wearable system comprising conditioning blocks for electrocardiogram and surface electromyogram signals, an analog-to-digital converter, and wireless data transmission capabilities. These features have been implemented reliably in accordance with the specific requirements of these signals, as well as complying with patient safety directives and ensuring the quality of the resulting signal, allowing it to be used as a data collector for subsequent software implementation. To evaluate its performance, this system is compared against commercially available wearable devices, and the expected outcomes are examined. The obtained results are then presented, showcasing the system’s capabilities and leading to a positive conclusion. As future work, there is a focus on enhancing the user interface and implement digital processing in the result for use in pathology recognition software with greater accuracy.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI - Research Centre in Digitalization and Intelligent Robotics (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC - Associate Laboratory for Sustainability and Technology (LA/P/0007/2021).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLuiz, Luiz E.; Coutinho, Fábio R.; Teixeira, João P. (2024). ECG and sEMG Conditioning and Wireless Transmission with a Biosignal Acquisition Board. In 3rd Inernational Conference on Optimization, Learning Algorithms and Applications (OL2A 2023). Cham: Springter Nature, Vol. 2, p. 355–367. ISBN 978-3-031-53035-7pt_PT
dc.identifier.doi10.1007/978-3-031-53036-4_25pt_PT
dc.identifier.isbn978-3-031-53035-7
dc.identifier.isbn978-3-031-53036-4
dc.identifier.urihttp://hdl.handle.net/10198/30378
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectElectrocardiogrampt_PT
dc.subjectECGpt_PT
dc.subjectElectromyogrampt_PT
dc.subjectEMGpt_PT
dc.subjectSurface Electromyogrampt_PT
dc.subjectsEMGpt_PT
dc.subjectSignal Conditioningpt_PT
dc.subjectWearable Health Monitoring Systemspt_PT
dc.subjectWHMSpt_PT
dc.titleECG and sEMG Conditioning and Wireless Transmission with a Biosignal Acquisition Boardpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.endPage367pt_PT
oaire.citation.startPage355pt_PT
oaire.citation.title3rd Inernational Conference on Optimization, Learning Algorithms and Applications (OL2A 2023)pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameTeixeira
person.givenNameJoão Paulo
person.identifier663194
person.identifier.ciencia-id4F15-B322-59B4
person.identifier.orcid0000-0002-6679-5702
person.identifier.ridN-6576-2013
person.identifier.scopus-author-id57069567500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication.latestForDiscovery33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
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