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dc.contributor.authorPark, Ji Su-
dc.contributor.authorKim, Choong Hyun-
dc.date.accessioned2024-01-12T02:36:51Z-
dc.date.available2024-01-12T02:36:51Z-
dc.date.created2022-10-11-
dc.date.issued2022-10-
dc.identifier.issn1424-8220-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/76000-
dc.description.abstractGait assessment is an important tool for determining whether a person has a gait disorder. Existing gait analysis studies have a high error rate due to the heel-contact-event-based technique. Our goals were to overcome the shortcomings of existing gait analysis techniques and to develop more objective indices for assessing gait disorders. This paper proposes a method for assessing gait disorders via the observation of changes in the center of pressure (COP) in the medial?lateral direction, i.e., COPx, during the gait cycle. The data for the COPx were used to design a gait cycle estimation method applicable to patients with gait disorders. A polar gaitogram was drawn using the gait cycle and COPx data. The difference between the areas inside the two closed curves in the polar gaitogram, area ratio index (ARI), and the slope of the tangential line common to the two closed curves were proposed as gait analysis indices. An experimental study was conducted to verify that these two indices can be used to differentiate between stroke patients and healthy adults. The findings indicated the potential of using the proposed polar gaitogram and indices to develop and apply wearable devices to assess gait disorders.-
dc.languageEnglish-
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)-
dc.titleGround-Reaction-Force-Based Gait Analysis and Its Application to Gait Disorder Assessment: New Indices for Quantifying Walking Behavior-
dc.typeArticle-
dc.identifier.doi10.3390/s22197558-
dc.description.journalClass1-
dc.identifier.bibliographicCitationSensors, v.22, no.19, pp.1 - 18-
dc.citation.titleSensors-
dc.citation.volume22-
dc.citation.number19-
dc.citation.startPage1-
dc.citation.endPage18-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000867241200001-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaInstruments & Instrumentation-
dc.type.docTypeArticle-
dc.subject.keywordPlusLOWER-LIMB EXOSKELETON-
dc.subject.keywordPlusREAL-TIME ESTIMATE-
dc.subject.keywordPlusELECTRICAL-STIMULATION-
dc.subject.keywordPlusPHASE-
dc.subject.keywordPlusSENSORS-
dc.subject.keywordPlusOSCILLATOR-
dc.subject.keywordPlusDISABILITY-
dc.subject.keywordPlusSTROKE-
dc.subject.keywordPlusSYSTEM-
dc.subject.keywordAuthorgait analysis-
dc.subject.keywordAuthorgait disorder-
dc.subject.keywordAuthorstroke-
dc.subject.keywordAuthorcenter of pressure-
dc.subject.keywordAuthorcontinuous gait phase-
dc.subject.keywordAuthoradaptive frequency oscillator-
dc.subject.keywordAuthorpolar gaitogram-
dc.subject.keywordAuthorarea ratio index-
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