Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106773
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dc.contributorSchool of Designen_US
dc.contributorDepartment of Rehabilitation Sciencesen_US
dc.creatorZhao, Yen_US
dc.creatorYu, Len_US
dc.creatorFan, Xen_US
dc.creatorPang, MYCen_US
dc.creatorTsui, KLen_US
dc.creatorWang, Hen_US
dc.date.accessioned2024-06-04T06:06:07Z-
dc.date.available2024-06-04T06:06:07Z-
dc.identifier.urihttp://hdl.handle.net/10397/106773-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Zhao, Y.; Yu, L.; Fan, X.; Pang, M.Y.C.; Tsui, K.-L.; Wang, H. Design of a Sensor-Technology-Augmented Gait and Balance Monitoring System for Community-Dwelling Older Adults in Hong Kong: A Pilot Feasibility Study. Sensors 2023, 23, 8008 is available at https://doi.org/10.3390/s23188008.en_US
dc.subjectFeasibilityen_US
dc.subjectGait and balanceen_US
dc.subjectPredictionen_US
dc.subjectSensor technologyen_US
dc.titleDesign of a sensor-technology-augmented gait and balance monitoring system for community-dwelling older adults in Hong Kong : a pilot feasibility studyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume23en_US
dc.identifier.issue18en_US
dc.identifier.doi10.3390/s23188008en_US
dcterms.abstractRoutine assessments of gait and balance have been recognized as an effective approach for preventing falls by issuing early warnings and implementing appropriate interventions. However, current limited public healthcare resources cannot meet the demand for continuous monitoring of deteriorations in gait and balance. The objective of this study was to develop and evaluate the feasibility of a prototype surrogate system driven by sensor technology and multi-sourced heterogeneous data analytics, for gait and balance assessment and monitoring. The system was designed to analyze users’ multi-mode data streams collected via inertial sensors and a depth camera while performing a 3-m timed up and go test, a five-times-sit-to-stand test, and a Romberg test, for predicting scores on clinical measurements by physiotherapists. Generalized regression of sensor data was conducted to build prediction models for gait and balance estimations. Demographic correlations with user acceptance behaviors were analyzed using ordinal logistic regression. Forty-four older adults (38 females) were recruited in this pilot study (mean age = 78.5 years, standard deviation [SD] = 6.2 years). The participants perceived that using the system for their gait and balance monitoring was a good idea (mean = 5.45, SD = 0.76) and easy (mean = 4.95, SD = 1.09), and that the system is useful in improving their health (mean = 5.32, SD = 0.83), is trustworthy (mean = 5.04, SD = 0.88), and has a good fit between task and technology (mean = 4.97, SD = 0.84). In general, the participants showed a positive intention to use the proposed system in their gait and balance management (mean = 5.22, SD = 1.10). Demographic correlations with user acceptance are discussed. This study provides preliminary evidence supporting the feasibility of using a sensor-technology-augmented system to manage the gait and balance of community-dwelling older adults. The intervention is validated as being acceptable, viable, and valuable.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSensors, Sept. 2023, v. 23, no. 18, 8008en_US
dcterms.isPartOfSensorsen_US
dcterms.issued2023-09-
dc.identifier.scopus2-s2.0-85172721129-
dc.identifier.pmid37766060-
dc.identifier.eissn1424-8220en_US
dc.identifier.artn8008en_US
dc.description.validate202406 bcwhen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera2765-
dc.identifier.SubFormID48278-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextShenzhen–Hong Kong–Macao Science and Technology Project Fund; The Hong Kong Polytechnic University grantsen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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