Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/3699
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dc.contributor.authorSalazar,AJen
dc.contributor.authorSilva,ASen
dc.contributor.authorSilva,Cen
dc.contributor.authorBorges,CMen
dc.contributor.authorMiguel Velhote Correiaen
dc.contributor.authorSantos,RSen
dc.contributor.authorVilas Boas,JPen
dc.date.accessioned2017-11-20T14:27:23Z-
dc.date.available2017-11-20T14:27:23Z-
dc.date.issued2014en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/3699-
dc.identifier.urihttp://dx.doi.org/10.1310/tsr2101-12en
dc.description.abstractBackground: An increasingly aging society and consequently rising number of patients with poststroke-related neurological dysfunctions are forcing the rehabilitation field to adapt to ever-growing demands. Although clinical reasoning within rehabilitation is dependent on patient movement performance analysis, current strategies for monitoring rehabilitation progress are based on subjective time-consuming assessment scales, not often applied. Therefore, a need exists for efficient nonsubjective monitoring methods. Wearable monitoring devices are rapidly becoming a recognized option in rehabilitation for.quantitative measures. Developments in sensors, embedded technology, and smart textile are driving rehabilitation to adopt an objective, seamless, efficient, and cost-effective delivery system. This study aims to assist physiotherapists' clinical reasoning process through the incorporation of accelerometers as part of an electronic data acquisition system. Methods: A simple, low-cost, wearable device for poststroke rehabilitation progress monitoring was developed based on commercially available inertial sensors. Accelerometry data acquisition was performed for 4 first-time poststroke patients during a reach-press-return task. Results: Preliminary studies revealed acceleration profiles of stroke patients through which it is possible to quantitatively assess the functional movement, identify compensatory strategies, and help define proper movement. Conclusion: An inertial data acquisition system was designed and developed as.a low-cost option for monitoring rehabilitation. The device seeks to ease the data-gathering process by physiotherapists to complement current practices with accelerometry profiles and aid the development of quantifiable methodologies and protocols.en
dc.languageengen
dc.relation4996en
dc.rightsinfo:eu-repo/semantics/embargoedAccessen
dc.titleLow-Cost Wearable Data Acquisition for Stroke Rehabilitation: A Proof-of-Concept Study on Accelerometry for Functional Task Assessmenten
dc.typearticleen
dc.typePublicationen
Appears in Collections:C-BER - Articles in International Journals

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