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Robot-assisted rehabilitation architecture supported by a distributed data acquisition system

2022Journal article Open access
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dc.contributor.authorChellal, Arezki Abderrahim
dc.contributor.authorLima, José
dc.contributor.authorGonçalves, José
dc.contributor.authorFernandes, Florbela P.
dc.contributor.authorPacheco, Maria F.
dc.contributor.authorMonteiro, Fernando C.
dc.contributor.authorBrito, Thadeu
dc.contributor.authorSoares, Salviano
dc.date.accessioned2023-02-08T10:15:59Z
dc.date.available2023-02-08T10:15:59Z
dc.date.issued2022
dc.description.abstractRehabilitation robotics aims to facilitate the rehabilitation procedure for patients and physical therapists. This field has a relatively long history dating back to the 1990s; however, their implementation and the standardisation of their application in the medical field does not follow the same pace, mainly due to their complexity of reproduction and the need for their approval by the authorities. This paper aims to describe architecture that can be applied to industrial robots and promote their application in healthcare ecosystems. The control of the robotic arm is performed using the software called SmartHealth, offering a 2 Degree of Autonomy (DOA). Data are gathered through electromyography (EMG) and force sensors at a frequency of 45 Hz. It also proves the capabilities of such small robots in performing such medical procedures. Four exercises focused on shoulder rehabilitation (passive, restricted active-assisted, free active-assisted and Activities of Daily Living (ADL)) were carried out and confirmed the viability of the proposed architecture and the potential of small robots (i.e., the UR3) in rehabilitation procedure accomplishment. This robot can perform the majority of the default exercises in addition to ADLs but, nevertheless, their limits were also uncovered, mainly due to their limited Range of Motion (ROM) and cost.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationChellal, Arezki Abderrahim; Lima, José; Gonçalves, José; Fernandes, Florbela P.; Pacheco, Maria Fátima; Monteiro, Fernando C.; Brito, Thadeu; Soares, Salviano (2022). Robot-assisted rehabilitation architecture supported by a distributed data acquisition system. Sensors. 22:23, p. 9532-pt_PT
dc.identifier.doi10.3390/s22239532pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/26801
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectRehabilitation roboticspt_PT
dc.subjectUpper limbpt_PT
dc.subjectElectromyography sensorpt_PT
dc.subjectData acquisitionpt_PT
dc.subjectUR3pt_PT
dc.subjectGraphical user interfacept_PT
dc.titleRobot-assisted rehabilitation architecture supported by a distributed data acquisition systempt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue23pt_PT
oaire.citation.startPage9532pt_PT
oaire.citation.titleSensorspt_PT
oaire.citation.volume22pt_PT
person.familyNameChellal
person.familyNameLima
person.familyNameGonçalves
person.familyNameFernandes
person.familyNamePacheco
person.familyNameMonteiro
person.familyNameBrito
person.givenNameArezki Abderrahim
person.givenNameJosé
person.givenNameJosé
person.givenNameFlorbela P.
person.givenNameMaria F.
person.givenNameFernando C.
person.givenNameThadeu
person.identifierR-000-8GD
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person.identifier.ridL-3370-2014
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rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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