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Motion sensors for Knee angle recognition in muscle rehabilitation solutions

2022Journal article Open access
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dc.contributor.authorFranco, Tiago
dc.contributor.authorOliveira, Leonardo Sestrem de
dc.contributor.authorHenriques, Pedro Rangel
dc.contributor.authorAlves, Paulo
dc.contributor.authorPereira, Maria João
dc.contributor.authorBrandão, Diego
dc.contributor.authorLeitão, Paulo
dc.contributor.authorSilva, Alfredo
dc.date.accessioned2023-02-23T14:20:07Z
dc.date.available2023-02-23T14:20:07Z
dc.date.issued2022
dc.description.abstractThe progressive loss of functional capacity due to aging is a serious problem that can compromise human locomotion capacity, requiring the help of an assistant and reducing independence. The NanoStim project aims to develop a system capable of performing treatment with electrostimulation at the patient’s home, reducing the number of consultations. The knee angle is one of the essential attributes in this context, helping understand the patient’s movement during the treatment session. This article presents a wearable system that recognizes the knee angle through IMU sensors. The hardware chosen for the wearables are low cost, including an ESP32 microcontroller and an MPU-6050 sensor. However, this hardware impairs signal accuracy in the multitasking environment expected in rehabilitation treatment. Three optimization filters with algorithmic complexity O(1) were tested to improve the signal’s noise. The complementary filter obtained the best result, presenting an average error of 0.6 degrees and an improvement of 77% in MSE. Furthermore, an interface in the mobile app was developed to respond immediately to the recognized movement. The systems were tested with volunteers in a real environment and could successfully measure the movement performed. In the future, it is planned to use the recognized angle with the electromyography sensor.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFranco, Tiago; Sestrem de Oliveira, Leonardo; Henriques, Pedro Rangel; Alves, Paulo; Pereira, Maria João; Brandão, Diego; Leitão, Paulo; Silva, Alfredo (2022). Motion sensors for Knee angle recognition in muscle rehabilitation solutions. Sensors. 7605pt_PT
dc.identifier.doi10.3390/s22197605pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27138
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationThis work was funded by European Regional Development Fund (ERDF) through the Operational Programme for Competitiveness and Internationalization (COMPETE 2020), under Portugal 2020 in the framework of the NanoStim (POCI-01-0247-FEDER-045908) project, and Fundação para a Ciência e a Tecnologia under Projects UIDB/05757/2020, UIDB/00319/2020, and PhD grant 2020.05704.BD.pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectIMU sensorpt_PT
dc.subjectAlgorithmic complexitypt_PT
dc.subjectKnee anglept_PT
dc.subjectMuscle rehabilitationpt_PT
dc.subjectWearable systempt_PT
dc.titleMotion sensors for Knee angle recognition in muscle rehabilitation solutionspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleSensorspt_PT
oaire.citation.volume7605pt_PT
person.familyNameFranco
person.familyNameOliveira
person.familyNameAlves
person.familyNamePereira
person.familyNameLeitão
person.givenNameTiago
person.givenNameLeonardo Sestrem de
person.givenNamePaulo
person.givenNameMaria João
person.givenNamePaulo
person.identifierUAMm8moAAAAJ&hl
person.identifierA-8390-2011
person.identifier.ciencia-id7F19-C649-5DD9
person.identifier.ciencia-id6F18-DAD8-ACDC
person.identifier.ciencia-idC319-FC42-5B6B
person.identifier.ciencia-idC912-4A49-A3B3
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0001-8574-4380
person.identifier.orcid0000-0002-9344-3075
person.identifier.orcid0000-0002-0100-8691
person.identifier.orcid0000-0001-6323-0071
person.identifier.orcid0000-0002-2151-7944
person.identifier.ridG-5999-2011
person.identifier.scopus-author-id57223608236
person.identifier.scopus-author-id55834442100
person.identifier.scopus-author-id13907870300
person.identifier.scopus-author-id35584388900
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication77169a8f-77ce-4994-8310-3e3710e07520
relation.isAuthorOfPublicationd39f1e66-56e1-472d-8897-969476357c9b
relation.isAuthorOfPublication43d3b0cd-8fd9-4194-a9df-9cca66f8726b
relation.isAuthorOfPublicationa20ccfa6-4e84-4c25-ab0d-8d6ba196ffc2
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relation.isAuthorOfPublication.latestForDiscoveryd39f1e66-56e1-472d-8897-969476357c9b

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