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SnapKiā€”An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients

2020Journal article Open access
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dc.contributor.authorOliveira, Ana
dc.contributor.authorDias, Duarte
dc.contributor.authorMĆŗrias Lopes, Elodie
dc.contributor.authorVilas-Boas, Maria do Carmo
dc.contributor.authorPaulo Silva Cunha, JoĆ£o
dc.date.accessioned2022-07-12T14:24:08Z
dc.date.available2022-07-12T14:24:08Z
dc.date.issued2020
dc.description.abstractThe development of wearable health systems has been the focus of many researchers who aim to find solutions in healthcare. Additionally, the large potential of textiles to integrate electronics, together with the comfort and usability they provide, has contributed to the development of smart garments in this area. In the field of neurological disorders with motor impairment, clinicians look for wearable devices that may provide quantification of movement symptoms. Neurological disorders affect different motion abilities thus requiring different needs in movement quantification. With this background we designed and developed an inertial textile-embedded wearable device that is adaptable to different movement-disorders quantification requirements. This adaptative device is composed of a low-power 9-axis inertial unit, a customised textile band and a web and Android cross application used for data collection, debug and calibration. The textile band comprises a snap buttons system that allows the attachment of the inertial unit, as well as its connection with the analog sensors through conductive textile. The resulting system is easily adaptable for quantification of multiple motor symptoms in different parts of the body, such as rigidity, tremor and bradykinesia assessments, gait analysis, among others. In our project, the system was applied for a specific use-case of wrist rigidity quantification during Deep Brain Stimulation surgeries, showing its high versatility and receiving very positive feedback from patients and doctors.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationOliveira A, Dias D, MĆŗrias Lopes E, Vilas-Boas MDC, Paulo Silva Cunha J. SnapKi-An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients. Sensors (Basel). 2020;20(14):3875. doi:10.3390/s20143875pt_PT
dc.identifier.doi10.3390/s20143875pt_PT
dc.identifier.issn424-8220
dc.identifier.urihttp://hdl.handle.net/10400.16/2722
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationPerceptual Equivalence in virtual Reality For authEntiC Training
dc.relationTowards Personalized In-Silico Mathematical Models and Tools for Brain Networks Simulations and Study of Optimal Therapeutic Approaches to Refractory Epilepsy
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/20/14/3875pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectinertial sensorspt_PT
dc.subjectmovement quantificationpt_PT
dc.subjectneurological disorderspt_PT
dc.subjectsmart textilespt_PT
dc.titleSnapKiā€”An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patientspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitlePerceptual Equivalence in virtual Reality For authEntiC Training
oaire.awardTitleTowards Personalized In-Silico Mathematical Models and Tools for Brain Networks Simulations and Study of Optimal Therapeutic Approaches to Refractory Epilepsy
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FCCI-COM%2F28618%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F140273%2F2018/PT
oaire.citation.conferencePlaceSwitzerlandpt_PT
oaire.citation.issue14pt_PT
oaire.citation.startPage3875pt_PT
oaire.citation.titleSensorspt_PT
oaire.citation.volume20pt_PT
oaire.fundingStream9471 - RIDTI
person.familyNameVB Olazabal
person.givenNameMCarmo
person.identifierR-00H-2PP
person.identifier.ciencia-id9819-6037-B244
person.identifier.orcid0000-0002-5012-789X
person.identifier.scopus-author-id57191403276
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundaĆ§Ć£o para a CiĆŖncia e a Tecnologia
project.funder.nameFundaĆ§Ć£o para a CiĆŖncia e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscoveryc2424ad9-56e9-4899-8721-92e443f1e19b
relation.isProjectOfPublication54db0587-8a98-4126-967d-cd2cb9f9dc3f
relation.isProjectOfPublication446b7aa4-4d83-4dbd-acfd-a561d36b0120
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