Publication: IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS
| dc.contributor.author | AKGÜN, ÖMER | |
| dc.contributor.authors | Ömer AKGÜN;AYDIN AKAN | |
| dc.date.accessioned | 2022-03-15T16:56:33Z | |
| dc.date.accessioned | 2026-01-11T19:11:42Z | |
| dc.date.available | 2022-03-15T16:56:33Z | |
| dc.date.issued | 2020-06-01 | |
| dc.description.abstract | Parkinson's is a neurodegenerative disease that, as in the case of other_x000D_ neurodegenerative diseases, has disruptive effects on human mobility. In this_x000D_ study, gait markers were obtained by using sensors under the foot, giving an_x000D_ output proportional to the force. Normal gait markers were compared with_x000D_ those of Parkinson’s patients. Thus, individuals with Parkinson's were_x000D_ identified by comparing the impulse model of gait markers obtained from_x000D_ normal individuals with those of Parkinson's patients. | |
| dc.identifier.doi | 10.36222/ejt.681232 | |
| dc.identifier.issn | 2536-5010;2536-5134 | |
| dc.identifier.uri | https://hdl.handle.net/11424/253185 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | European Journal of Technique | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.title | IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS | |
| dc.type | article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 159 | |
| oaire.citation.issue | 1 | |
| oaire.citation.startPage | 153 | |
| oaire.citation.title | European Journal of Technique | |
| oaire.citation.volume | 10 |
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