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Data acquisition system for a wearable-based fall prevention

2023Comunicação em conferência Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia
dc.contributor.authorKaizer, Raul
dc.contributor.authorSestrem, Leonardo
dc.contributor.authorFranco, Tiago
dc.contributor.authorGonçalves, João
dc.contributor.authorTeixeira, João Paulo
dc.contributor.authorLima, José
dc.contributor.authorCarvalho, José Augusto
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2026-05-18T16:22:45Z
dc.date.available2026-05-18T16:22:45Z
dc.date.issued2023
dc.description.abstractReliable ways to treat and monitor patients remotely have been researched and proposed by numerous people. Many of these propositions are under the wearable category due to it usually not requiring deep knowledge to be handled and its durability. Among the many applicable ways, fall monitoring has gained importance as the world population ages and countries aim to increase the quality of life. For it to be possible, there are many ways such as analyzing muscle response, body position, or brain activities, but for most of them, the result ends up being expensive and or inaccurate. With this in mind, this paper brings the development of an acquisition system for electromyography, electrocardiography, body position and temperature. The acquired data is transmitted to the smartphone through Bluetooth Low Energy (BLE) and then sent to a secure cloud to be provided to the physician. In future works, artificial intelligence codes will analyze the data patterns to predict fall occurrences and establish functional electrical stimulation (FES) routines to prevent falls and or treat the patients according to their necessities.por
dc.identifier.citationKaizer, Raul; Oliveira, Sestrem; Leonardo; Franco, Tiago; Gonçalves, João; Teixeira, João Paulo; Lima, José; Carvalho, José Augusto; Leitão, Paulo (2023). Data acquisition system for a wearable-based fall prevention. In the 16th International Joint Conference on Biomedical Engineering Systems and Technologies. Lisbon, Portugal. DOI: 10.5220/0011926500003414
dc.identifier.doi10.5220/0011926500003414
dc.identifier.urihttp://hdl.handle.net/10198/36723
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSCITEPRESS - Science and Technology Publications
dc.relationNano-ID
dc.relation.ispartofProceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleData acquisition system for a wearable-based fall preventionpor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2023
oaire.citation.conferencePlaceLisboa - Portugal
oaire.citation.title16th International Joint Conference on Biomedical Engineering Systems and Technologies
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameTeixeira
person.familyNameLima
person.familyNameCarvalho
person.familyNameLeitão
person.givenNameJoão Paulo
person.givenNameJosé
person.givenNameJosé Augusto
person.givenNamePaulo
person.identifier663194
person.identifierR-000-8GD
person.identifierA-8390-2011
person.identifier.ciencia-id4F15-B322-59B4
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-id1319-7B8B-4901
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0002-6679-5702
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0002-6074-8112
person.identifier.orcid0000-0002-2151-7944
person.identifier.ridN-6576-2013
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id57069567500
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id27168377100
person.identifier.scopus-author-id35584388900
relation.isAuthorOfPublication33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
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relation.isAuthorOfPublication68d9eb25-ad4f-439b-aeb2-35e8708644cc
relation.isAuthorOfPublication.latestForDiscovery68d9eb25-ad4f-439b-aeb2-35e8708644cc

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