Comparison of Functional Regression and Nonfunctional Regression Approaches to the Study of the Walking Velocity Effect in Force Platform Measures

Durá, Juan Vicente; Belda, Juan Manuel; Poveda, Rakel; Page, Álvaro; Laparra, José Moisés; Das, José; Prat, Jaime; García, Ana Cruz

doi:10.1123/jab.26.2.234

Cited by 9 publications

(3 citation statements)

References 11 publications

(18 reference statements)

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“…There have been numerous studies in the field of FDA-based biomechanics 32 , 33 that include generalizations of classical techniques to describe the variability of curves using functional principal component analysis 34 , 35 , analyze the differences associated factors using functional ANOVA 36 , 37 , the shape variation of curves associated with numerical variables through functional regression 38 , 39 and curve-based classification techniques 40 , 41 .…”

Section: Introductionmentioning

confidence: 99%

Relationship between neck kinematics and neck dissability index. An approach based on functional regression

Aragón-Basanta,

Venegas,

Ayala

et al. 2024

Sci Rep

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Numerous studies use numerical variables of neck movement to predict the level of severity of a pathology. However, the correlation between these numerical variables and disability levels is low, less than 0.4 in the best cases, even less in subjects with nonspecific neck pain. This work aims to use Functional Data Analysis (FDA), in particular scalar-on-function regression, to predict the Neck Disability Index (NDI) of subjects with nonspecific neck pain using the complete movement as predictors. Several functional regression models have been implemented, doubling the multiple correlation coefficient obtained when only scalar predictors are used. The best predictive model considers the angular velocity curves as a predictor, obtaining a multiple correlation coefficient of 0.64. In addition, functional models facilitate the interpretation of the relationship between the kinematic curves and the NDI since they allow identifying which parts of the curves most influence the differences in the predicted variable. In this case, the movement’s braking phases contribute to a greater or lesser NDI. So, it is concluded that functional regression models have greater predictive capacity than usual ones by considering practically all the information in the curve while allowing a physical interpretation of the results.

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Section: Introductionmentioning

confidence: 99%

Relationship between neck kinematics and neck dissability index. An approach based on functional regression

Aragón-Basanta,

Venegas,

Ayala

et al. 2024

Sci Rep

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“…This paper uses a model that combines PCA and functional regression. 11 We use PCA to classify pressure patterns, and functional regression to establish the activation of the patterns over time.…”

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confidence: 99%

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

Chicote¹,

Durá

Belda

et al. 2013

Journal of Applied Biomechanics

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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.

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“…Este tipo de análisis ha proporcionado buenos resultados en el análisis de la marcha humana y en el análisis del patrón biomecánico en corredores de fondo (Donoghue, Harrison, Coffey, & Hayes, 2008;Durá et al, 2010;Foch & Milner, 2014;Preatoni et al, 2013;Vivas, 2014).…”

Section: Análisis De Datos Funcionalesunclassified

Estudio del estado de fatiga en corredores de fondo a partir de patrones biomecánicos. Monitorización mediante sistemas integrados en el calzado

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A mi director de tesis, Dr. Álvaro Page del Pozo, por animarme a realizar esta tesis, por su tutela y ayuda constante durante estos cuatro años. A todos los corredores que han participado en los ensayos y a los compañeros que me ayudaron con la experimentación y la toma de medidas: Bruno, Nicolás y Cristian. Al 7º Programa Marco de la Unión Europea por la financiación del proyecto europeo Runsafer (FP7-SME-2011-1) que ha soportado junto con el IBV la fase experimental de esta tesis. Al IBV, por todos estos años de trabajo, formación y por impulsar la realización de esta tesis.

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Comparison of Functional Regression and Nonfunctional Regression Approaches to the Study of the Walking Velocity Effect in Force Platform Measures

Cited by 9 publications

References 11 publications

Relationship between neck kinematics and neck dissability index. An approach based on functional regression

Relationship between neck kinematics and neck dissability index. An approach based on functional regression

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

Estudio del estado de fatiga en corredores de fondo a partir de patrones biomecánicos. Monitorización mediante sistemas integrados en el calzado

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