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dc.contributor.authorGarzo, Ainara
dc.contributor.authorSilva, Paula Alexandra
dc.contributor.authorGaray-Vitoria, Nestor
dc.contributor.authorHernandez, Erik
dc.contributor.authorCullen, Stephen
dc.contributor.authorCochen De Cock, Valérie
dc.contributor.authorIhalainen, Petra
dc.contributor.authorVilling, Rudi
dc.date.accessioned2018-11-15T13:20:28Z
dc.date.available2018-11-15T13:20:28Z
dc.date.issued2018-11-12
dc.identifier.citationGarzo, Ainara, Paula Alexandra Silva, Nestor Garay-Vitoria, Erik Hernandez, Stephen Cullen, Valérie Cochen De Cock, Petra Ihalainen, and Rudi Villing. “Design and Development of a Gait Training System for Parkinson’s Disease.” Edited by Filomena Papa. PLOS ONE 13, no. 11 (November 12, 2018): e0207136. doi:10.1371/journal.pone.0207136.en
dc.identifier.issn1932-6203en
dc.identifier.urihttp://hdl.handle.net/11556/646
dc.description.abstractBackground. Rhythmic Auditory Stimulation (RAS) is an effective technique to improve gait and reduce freezing episodes for Persons with Parkinson’s Disease (PwPD). The BeatHealth system, which comprises a mobile application, gait sensors, and a website, exploits the potential of the RAS technique. This paper describes the tools used for co-designing and evaluating the system and discusses the results and conclusions. Methods. Personas, interviews, use cases, and ethnographic observations were used to define the functional requirements of the system. Low fidelity prototypes were created for iterative and incremental evaluation with end-users. Field trials were also performed with the final system. The process followed a user centered design methodology defined for this project with the aim of building a useful, usable, and easy-to-use system. Results. Functional requirements of the system were produced as a result of the initial exploration phase. Building upon these, mock-ups for the BeatHealth system were created. The mobile application was iterated twice, with the second version of it achieving a rating of 75 when assessed by participants through the System Usability Scale (SUS). After another iteration field trials were performed and the mobile application was rated with an average 78.6 using SUS. Participants rated two website mock-ups, one for health professionals and another for end-users, as good except from minor issues related to visual design (e.g. font size), which were resolved in the final version. Conclusion. The high ratings obtained in the evaluation of the BeatHealth system demonstrate the benefit of applying a user centered design methodology which involves stakeholders from the very beginning. Other important lessons were learned through the process of design and development of the system, such as the importance of motivational aspects, the techniques which work best, and the extra care that has to be taken when evaluating non-functional mock-ups with end users.en
dc.description.sponsorshipThis work was supported by the BeatHealth project within the 7th Framework Programme of the European Union – Personalised health, active ageing, and independent living, contract Number FP7-610633. See also: http://www.euromov.eu/beathealth/homepage. This work has been also partially supported by the Ministry of Economy and Competitiveness of the Spanish Government and by the European Regional Development Fund (projects TIN2014-52665-C2-1-R and TIN2017-85409-P), and by the Department of Education, Universities and Research of the Basque Government under grant IT980-16.en
dc.language.isoengen
dc.publisherPublic Library of Scienceen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleDesign and development of a gait training system for Parkinson’s diseaseen
dc.typearticleen
dc.identifier.doi10.1371/journal.pone.0207136en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/610633/EU/Health and Wellness on the Beat/BEAT-HEALTHen
dc.rights.accessRightsopenAccessen
dc.subject.keywordsParkinson’s diseaseen
dc.subject.keywordsRhythmic Auditory Stimulation (RAS)en
dc.subject.keywordsFreezing episodesen
dc.subject.keywordsBeatHealthen
dc.issue.number11en
dc.journal.titlePLOS ONEen
dc.volume.number13en


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