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iHandU: A Novel Quantitative Wrist Rigidity Evaluation Device for Deep Brain Stimulation Surgery

2020Journal article Open access
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dc.contributor.authorMúrias Lopes, Elodie
dc.contributor.authorVilas-Boas, Maria do Carmo
dc.contributor.authorDias, Duarte
dc.contributor.authorRosas, Maria José
dc.contributor.authorVaz, Rui
dc.contributor.authorSilva Cunha, João Paulo
dc.date.accessioned2022-07-12T14:09:00Z
dc.date.available2022-07-12T14:09:00Z
dc.date.issued2020
dc.description.abstractDeep brain stimulation (DBS) surgery is the gold standard therapeutic intervention in Parkinson's disease (PD) with motor complications, notwithstanding drug therapy. In the intraoperative evaluation of DBS's efficacy, neurologists impose a passive wrist flexion movement and qualitatively describe the perceived decrease in rigidity under different stimulation parameters and electrode positions. To tackle this subjectivity, we designed a wearable device to quantitatively evaluate the wrist rigidity changes during the neurosurgery procedure, supporting physicians in decision-making when setting the stimulation parameters and reducing surgery time. This system comprises a gyroscope sensor embedded in a textile band for patient's hand, communicating to a smartphone via Bluetooth and has been evaluated on three datasets, showing an average accuracy of 80%. In this work, we present a system that has seen four iterations since 2015, improving on accuracy, usability and reliability. We aim to review the work done so far, outlining the iHandU system evolution, as well as the main challenges, lessons learned, and future steps to improve it. We also introduce the last version (iHandU 4.0), currently used in DBS surgeries at São João Hospital in Portugal.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLopes EM, Vilas-Boas MDC, Dias D, Rosas MJ, Vaz R, Cunha JPS. iHandU: A Novel Quantitative Wrist Rigidity Evaluation Device for Deep Brain Stimulation Surgery. Sensors (Basel). 2020;20(2):331. doi:10.3390/s20020331pt_PT
dc.identifier.doi10.3390/s20020331pt_PT
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10400.16/2720
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/1424-8220/20/2/331pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectdeep brain stimulationpt_PT
dc.subjectinertial sensorspt_PT
dc.subjectintra-op classificationpt_PT
dc.subjectmathematical modelspt_PT
dc.subjectparkinson’s diseasept_PT
dc.subjectwearable systempt_PT
dc.subjectwrist rigiditypt_PT
dc.titleiHandU: A Novel Quantitative Wrist Rigidity Evaluation Device for Deep Brain Stimulation Surgerypt_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.issue2pt_PT
oaire.citation.startPage331pt_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.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscoveryc2424ad9-56e9-4899-8721-92e443f1e19b
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