Εμφάνιση απλής εγγραφής

dc.creatorPiromalis D., Kounelis M., Kolovos D.P., Kokkotis C., Tsatalas T., Bellis G., Tsaopoulos D., Giakas G., Chronakis A., Koutsouraki E., Tsotsolas N., Randhawa P., Patel A.en
dc.date.accessioned2023-01-31T09:50:10Z
dc.date.available2023-01-31T09:50:10Z
dc.date.issued2022
dc.identifier10.1016/j.matpr.2022.04.724
dc.identifier.issn22147853
dc.identifier.urihttp://hdl.handle.net/11615/78236
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. © 2022en
dc.language.isoenen
dc.sourceMaterials Today: Proceedingsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85132621123&doi=10.1016%2fj.matpr.2022.04.724&partnerID=40&md5=28326908a39d307ff823becdb9fc6802
dc.subjectData acquisitionen
dc.subjectData handlingen
dc.subjectEmbedded systemsen
dc.subjectGait analysisen
dc.subjectNeurodegenerative diseasesen
dc.subjectWearable sensorsen
dc.subjectAutonomous operationsen
dc.subjectData acquisition systemen
dc.subjectEmbedded-systemen
dc.subjectGait measurementsen
dc.subjectIn-depth analysisen
dc.subjectKey featureen
dc.subjectMonitoring technologiesen
dc.subjectParkinson's diseaseen
dc.subjectSensors modelsen
dc.subjectWearable devicesen
dc.subjectFirmwareen
dc.subjectElsevier Ltden
dc.titlePortable gait analysis sensor model for Parkinson's diseaseen
dc.typejournalArticleen


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