Publication
Low-cost wearable data acquisition for stroke rehabilitation: A proof-of-concept study on accelerometry for functional task assessment
dc.contributor.author | Salazar, Antonio J. | |
dc.contributor.author | Silva, Ana S. | |
dc.contributor.author | Silva, Cláudia | |
dc.contributor.author | Borges, Carla M. | |
dc.contributor.author | Correia, Miguel V. | |
dc.contributor.author | Santos, Rubim | |
dc.contributor.author | Vilas-Boas, Joao P. | |
dc.date.accessioned | 2019-11-22T13:27:30Z | |
dc.date.available | 2019-11-22T13:27:30Z | |
dc.date.issued | 2014 | |
dc.description.abstract | Background: 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. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Salazar, A. J., Silva, A. S., Silva, C., Borges, C. M., Correia, M. V., Santos, R. S., & Vilas-Boas, J. P. (2014). Low-cost wearable data acquisition for stroke rehabilitation: A proof-of-concept study on accelerometry for functional task assessment. Topics in Stroke Rehabilitation, 21(1), 12–22. https://doi.org/10.1310/tsr2101-12 | |
dc.identifier.doi | 10.1310/tsr2101-12 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.22/14924 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Taylor & Francis | pt_PT |
dc.relation | SFRH/ BD/60929/2009 | pt_PT |
dc.relation.publisherversion | https://www.tandfonline.com/doi/abs/10.1310/tsr2101-12 | pt_PT |
dc.subject | Algorithms | pt_PT |
dc.subject | Nervous system diseases | pt_PT |
dc.subject | Stroke | pt_PT |
dc.subject | Telemetry | pt_PT |
dc.subject | Clothing | pt_PT |
dc.subject | Electronic data processing | pt_PT |
dc.subject | Monitoring | pt_PT |
dc.subject | Stroke rehabilitation | pt_PT |
dc.subject | Ambulatory | |
dc.title | Low-cost wearable data acquisition for stroke rehabilitation: A proof-of-concept study on accelerometry for functional task assessment | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F61396%2F2009/PT | |
oaire.citation.endPage | 22 | pt_PT |
oaire.citation.issue | 1 | pt_PT |
oaire.citation.startPage | 12 | pt_PT |
oaire.citation.title | Topics in Stroke Rehabilitation | pt_PT |
oaire.citation.volume | 21 | pt_PT |
oaire.fundingStream | SFRH | |
person.familyName | Silva | |
person.familyName | Rubim Silva Santos | |
person.givenName | Cláudia | |
person.givenName | Manuel | |
person.identifier | 2061639 | |
person.identifier.ciencia-id | C31B-F85B-9008 | |
person.identifier.ciencia-id | A018-2B24-C597 | |
person.identifier.orcid | 0000-0002-1484-1893 | |
person.identifier.orcid | 0000-0002-7394-7604 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
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