DC FieldValueLanguage
dc.contributor.authorTsotsolas, Nikos-
dc.contributor.authorTsaopoulos, Dimitrios-
dc.contributor.authorTsatalas, Themistoklis-
dc.contributor.authorRandhawa, Princy-
dc.contributor.authorKokkotis, Christos-
dc.contributor.authorBellis, George-
dc.contributor.authorKoutsouraki, Eleni-
dc.contributor.authorKolovos, Dimitrios P.-
dc.contributor.authorKounelis, Marios-
dc.contributor.authorPatel, Akshet-
dc.contributor.authorChronakis, Antonis-
dc.contributor.authorPiromalis, Dimitrios-
dc.contributor.authorGiakas, Giannis-
dc.date.accessioned2024-04-05T14:01:58Z-
dc.date.available2024-04-05T14:01:58Z-
dc.date.issued2022-01-01-
dc.identifierscopus-85132621123-
dc.identifier.issn2214-7853-
dc.identifier.other85132621123-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/1831-
dc.description.abstractAs part of a research project, a small gait analysis device is being developed that will be used outside of home by the patients themselves. Its main purpose will be to record accurate gait measurements in patients with Parkinson's Disease and proceed with in-depth analysis of the gait characteristics. A key feature of the device will be its small size, which creates specific requirements in terms of device consumption restrictions due to the small size of the battery and the need for autonomous operation for more than ten hours. This research work describes, on the one hand, the firmware of the device with an emphasis on the functions that will be implemented; and, on the other, the device software which will support the process that will be adopted for reading and processing data from the devices placed on patients' feet to record the gait characteristics of patients on a continuous basis. Using these computational approaches, we developed and carried out an experiment with a 1.60 m tall experimental female subject. We strapped a device to the subject's right ankle and instructed her to take five steps with her right foot, turn 180 degrees, and repeat with the same foot.en_US
dc.language.isoenen_US
dc.relation.ispartofMaterials Today: Proceedings of 4th International Conference on Advances in Mechanical Engineering and Nanotechnologyen_US
dc.subjectData acquisition systemsen_US
dc.subjectEmbedded systemsen_US
dc.subjectFirmwareen_US
dc.subjectGait analysisen_US
dc.subjectMonitoring technologiesen_US
dc.subjectParkinson's diseaseen_US
dc.subjectWearable devicesen_US
dc.titlePortable gait analysis sensor model for Parkinson's diseaseen_US
dc.typeConference Paperen_US
dc.relation.conference4th International Conference on Advances in Mechanical Engineering and Nanotechnology (ICAMEN), 18 - 19 February 2022 (online)en_US
dc.identifier.doi10.1016/j.matpr.2022.04.724en_US
dc.identifier.scopus2-s2.0-85132621123-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume63en_US
dc.identifier.spage653en_US
dc.identifier.epage662en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldMedical and Health Sciencesen_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0003-4173-3780-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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