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Data acquisition, conditioning and processing system for a wearable-based biostimulation

2022Conference object Open access
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dc.contributor.authorOliveira, Leonardo Sestrem de
dc.contributor.authorKaizer, Raul
dc.contributor.authorGonçalves, João
dc.contributor.authorLeitão, Paulo
dc.contributor.authorTeixeira, João Paulo
dc.contributor.authorLima, José
dc.contributor.authorFranco, Tiago
dc.contributor.authorCarvalho, José Augusto
dc.date.accessioned2022-05-19T09:55:09Z
dc.date.available2022-05-19T09:55:09Z
dc.date.issued2022
dc.description.abstractData acquisition by electromyography, as well as the muscle stimulation, has become more accessible with the new developments in the wearable technology and medicine. In fact, for treatments, games or sports, it is possible to find examples of the use of muscle signals to analyse specific aspects related, e.g., to disease, injuries or movement impulses. However, these systems are usually expensive, does not integrate data acquisition with the muscle stimulation and does not exhibit an adaptive control behaviour that consider the pathology and the patient response. This paper presents a wearable system that integrates the signal acquisition and the electrostimulation using dry thin-film titanium-based electrodes. The acquired data is transmitted to a mobile application running on a smartphone by using Bluetooth Low Energy (BLE) technology, where it is analysed by employing artificial intelligence algorithms to provide customised treatments for each patient profile and type of pathology, and taking into consideration the feedback of the acquired electromyography signal. The acquired patient’s data is also stored in a secure cloud database to support the physician to analyse and follow-up the clinical results from the rehabilitation process.pt_PT
dc.description.sponsorshipThis work was supported by the European Regional Development Fund (ERDF) through the Operational Programme for Competitiveness and Internationalization (COMPETE 2020), under Portugal 2020 in the framework of the NanoStim - Nanomaterials for wearable-based integrated biostimulation (POCI-01- 0247-FEDER-045908) project.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCarvalho, José; Franco, Tiago; Lima, José; Teixeira, João Paulo; Leitão, Paulo; Gonçalves, João; Kaizer, Raul; Sestrem, Leonardo (2022). Data acquisition, conditioning and processing system for a wearable-based biostimulation. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022). Vol. 1 p. 223-230. ISBN 978-989-758-552-4pt_PT
dc.identifier.doi10.5220/0011002300003123pt_PT
dc.identifier.isbn978-989-758-552-4
dc.identifier.urihttp://hdl.handle.net/10198/25487
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSCITEPRESSpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectWearable bioestimulationpt_PT
dc.subjectData acquisitionpt_PT
dc.subjectElectromyographypt_PT
dc.subjectArtificial intelligencept_PT
dc.titleData acquisition, conditioning and processing system for a wearable-based biostimulationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage230pt_PT
oaire.citation.startPage223pt_PT
oaire.citation.title15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022)pt_PT
person.familyNameOliveira
person.familyNameLeitão
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person.familyNameLima
person.familyNameFranco
person.familyNameCarvalho
person.givenNameLeonardo Sestrem de
person.givenNamePaulo
person.givenNameJoão Paulo
person.givenNameJosé
person.givenNameTiago
person.givenNameJosé Augusto
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