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A Functional PCA Model for the Study of Time Series of Pressure Maps

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A Functional PCA Model for the Study of Time Series of Pressure Maps

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dc.contributor.author Chicote Gónzalez, Juan Carlos es_ES
dc.contributor.author DURÁ-GIL, JUAN V. es_ES
dc.contributor.author Belda Lois, Juan Manuel es_ES
dc.contributor.author Poveda Puente, Rakel es_ES
dc.date.accessioned 2018-04-21T04:13:32Z
dc.date.available 2018-04-21T04:13:32Z
dc.date.issued 2013 es_ES
dc.identifier.issn 1065-8483 es_ES
dc.identifier.uri http://hdl.handle.net/10251/100783
dc.description.abstract [EN] Principal component analysis and functional regression are combined in a model to analyze a time series of pressure maps. The model is tested measuring the pressures over a chair seat while a subject performs a combination of simple movements. A sampling rate of 3 Hz is adequate for applying the model in sitting postures. The model is able to detect patterns of movement over time, although more variables are necessary if the movements produce similar pressure distributions. es_ES
dc.description.sponsorship The research described in this paper arises from a Spanish research project called INREDIS (INterfaces for RElations between Environment and people with DISabilities) [http:// www.inredis.es]. INREDIS is led by Technosite and funded by CDTI (Industrial Technology Development Centre), under the CENIT (National Strategic Technical Research Consortia) Programme, in the framework of the Spanish government’s INGENIO 2010 initiative. The opinions expressed in this paper are those of the authors and are not necessarily those of the INREDIS project partners or of the CDTI.
dc.language Inglés es_ES
dc.publisher Human Kinetics es_ES
dc.relation.ispartof Journal of Applied Biomechanics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject PCA es_ES
dc.subject Pressure maps es_ES
dc.subject Sitting posture es_ES
dc.subject Functional regression es_ES
dc.subject.classification INGENIERIA MECANICA es_ES
dc.title A Functional PCA Model for the Study of Time Series of Pressure Maps es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1123/jab.29.2.135 es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto de Biomecánica de Valencia - Institut Universitari Mixt de Biomecànica de València es_ES
dc.description.bibliographicCitation Chicote Gónzalez, JC.; Durá-Gil, JV.; Belda Lois, JM.; Poveda Puente, R. (2013). A Functional PCA Model for the Study of Time Series of Pressure Maps. Journal of Applied Biomechanics. 29(2):135-140. doi:10.1123/jab.29.2.135 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1123/jab.29.2.135 es_ES
dc.description.upvformatpinicio 135 es_ES
dc.description.upvformatpfin 140 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 29 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\258834 es_ES
dc.contributor.funder Centro para el Desarrollo Tecnológico Industrial
dc.contributor.funder Ministerio de Ciencia e Innovación


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