Gutenberg Open Science: Intra-individual gait patterns across different time-scales as revealed by means of a supervised learning model using kernel-based discriminant regression

Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-7155

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DC Field	Value	Language
dc.contributor.author	Horst, Fabian	-
dc.contributor.author	Eekhoff, Alexander	-
dc.contributor.author	Newell, Karl M.	-
dc.contributor.author	Schöllhorn, Wolfgang I.	-
dc.date.accessioned	2022-06-15T08:38:05Z	-
dc.date.available	2022-06-15T08:38:05Z	-
dc.date.issued	2017	-
dc.identifier.uri	https://openscience.ub.uni-mainz.de/handle/20.500.12030/7169	-
dc.description.abstract	Objective Traditionally, gait analysis has been centered on the idea of average behavior and normality. On one hand, clinical diagnoses and therapeutic interventions typically assume that average gait patterns remain constant over time. On the other hand, it is well known that all our movements are accompanied by a certain amount of variability, which does not allow us to make two identical steps. The purpose of this study was to examine changes in the intra-individual gait patterns across different time-scales (i.e., tens-of-mins, tens-of-hours). Methods Nine healthy subjects performed 15 gait trials at a self-selected speed on 6 sessions within one day (duration between two subsequent sessions from 10 to 90 mins). For each trial, time-continuous ground reaction forces and lower body joint angles were measured. A supervised learning model using a kernel-based discriminant regression was applied for classifying sessions within individual gait patterns. Results and discussion Discernable characteristics of intra-individual gait patterns could be distinguished between repeated sessions by classification rates of 67.8 ± 8.8% and 86.3 ± 7.9% for the six-session-classification of ground reaction forces and lower body joint angles, respectively. Furthermore, the one-on-one-classification showed that increasing classification rates go along with increasing time durations between two sessions and indicate that changes of gait patterns appear at different time-scales. Conclusion Discernable characteristics between repeated sessions indicate continuous intrinsic changes in intra-individual gait patterns and suggest a predominant role of deterministic processes in human motor control and learning. Natural changes of gait patterns without any externally induced injury or intervention may reflect continuous adaptations of the motor system over several time-scales. Accordingly, the modelling of walking by means of average gait patterns that are assumed to be near constant over time needs to be reconsidered in the context of these findings, especially towards more individualized and situational diagnoses and therapy.	en_GB
dc.description.sponsorship	DFG, Open Access-Publizieren Universität Mainz / Universitätsmedizin	de
dc.language.iso	eng	de
dc.rights	CC BY	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.ddc	610 Medizin	de_DE
dc.subject.ddc	610 Medical sciences	en_GB
dc.subject.ddc	796 Sport	de_DE
dc.subject.ddc	796 Athletic and outdoor sports and games	en_GB
dc.title	Intra-individual gait patterns across different time-scales as revealed by means of a supervised learning model using kernel-based discriminant regression	en_GB
dc.type	Zeitschriftenaufsatz	de
dc.identifier.doi	http://doi.org/10.25358/openscience-7155	-
jgu.type.dinitype	article	en_GB
jgu.type.version	Published version	de
jgu.type.resource	Text	de
jgu.organisation.department	FB 02 Sozialwiss., Medien u. Sport	de
jgu.organisation.number	7910	-
jgu.organisation.name	Johannes Gutenberg-Universität Mainz	-
jgu.rights.accessrights	openAccess	-
jgu.journal.title	PLoS one	de
jgu.journal.volume	12	de
jgu.journal.issue	6	de
jgu.pages.alternative	e0179738	de
jgu.publisher.year	2017	-
jgu.publisher.name	PLoS	de
jgu.publisher.place	Lawrence, Kan.	de
jgu.publisher.uri	http://dx.doi.org/10.1371/journal.pone.0179738	de
jgu.publisher.issn	1932-6203	de
jgu.organisation.place	Mainz	-
jgu.subject.ddccode	610	de
jgu.subject.ddccode	796	de
opus.date.modified	2017-08-21T09:22:38Z	-
opus.subject.dfgcode	00-000	-
opus.organisation.string	FB 02: Sozialwissenschaften, Medien und Sport: Institut für Sportwissenschaft	de_DE
opus.identifier.opusid	56838	-
opus.institute.number	0208	-
opus.metadataonly	false	-
opus.type.contenttype	Keine	de_DE
opus.type.contenttype	None	en_EN
opus.affiliated	Horst, Fabian	-
opus.affiliated	Schöllhorn, Wolfgang	-
jgu.publisher.doi	10.1371/journal.pone.0179738	de
jgu.organisation.ror	https://ror.org/023b0x485	-
Appears in collections:	DFG-OA-Publizieren (2012 - 2017)

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