Results 1 to 10 of about 17,164 (153)

Lower-limb surface electromyographic differences in roundhouse kicks between elite and sub-elite taekwondo athletes: a functional principal component analysis [PDF]

Frontiers in Physiology
PurposeThis study aimed to investigate the functional characteristics and distinctions in lower-limb electromyography (EMG) time-series data during roundhouse kicks performed by elite (n = 10) and sub-elite (n = 10) Taekwondo athletes, using Functional ...
Jianbo Sun, Yifei Wang, Jingyuan Sun, Delong Dong, Shazlin Shaharudin   +4 more
doaj   +3 more sources

Predicting progressive vision loss in glaucoma patients using functional principal component analysis and electronic health records [PDF]

Frontiers in Ophthalmology
BackgroundGlaucoma is a leading cause of irreversible blindness worldwide. Predicting a patient’s future clinical trajectory would help physicians personalize management. We present a novel approach for predicting patient visual field (VF) progression by
Rithvik Krishna Donnipadu, Maxim Sivolella, Cody Carroll, Cody Carroll, Sophia Y. Wang   +4 more
doaj   +3 more sources

New Modeling Approaches Based on Varimax Rotation of Functional Principal Components

Mathematics, 2020
Functional Principal Component Analysis (FPCA) is an important dimension reduction technique to interpret the main modes of functional data variation in terms of a small set of uncorrelated variables.
Christian Acal, Ana M. Aguilera, Manuel Escabias   +2 more
doaj   +2 more sources

Exploiting upper-limb functional principal components for human-like motion generation of anthropomorphic robots

Journal of NeuroEngineering and Rehabilitation, 2020
Background Human-likeliness of robot movements is a key component to enable a safe and effective human-robot interaction, since it contributes to increase acceptance and motion predictability of robots that have to closely interact with people, e.g.
Giuseppe Averta, Cosimo Della Santina, Gaetano Valenza, Antonio Bicchi, Matteo Bianchi   +4 more
doaj   +2 more sources

Properties of Design-Based Functional Principal Components Analysis [PDF]

, 2009
This work aims at performing Functional Principal Components Analysis (FPCA) with Horvitz-Thompson estimators when the observations are curves collected with survey sampling techniques.
Benko, Berger, Besse, Besse, Breidt, Camelia Goga, Campbell, Cardot, Cardot, Castro, Catherine Labruère, Chatelin, Chen, Chiou, Croux, Cuevas, Dauxois, Davison, Deville, Deville, Ferraty, Hampel, Hastie, Hervé Cardot, Isaki, James, Kato, Kirkpatrick, Kneip, Mohamed Chaouch, Ramsay, Ramsay, Rice, Robinson, Serfling, Skinner, Särndal, von Mises   +37 more
core   +5 more sources

Functional principal components analysis via penalized rank one approximation [PDF]

, 2008
Two existing approaches to functional principal components analysis (FPCA) are due to Rice and Silverman (1991) and Silverman (1996), both based on maximizing variance but introducing penalization in different ways.
Buja, Andreas, Huang, Jianhua Z., Shen, Haipeng   +2 more
core   +7 more sources

Functional Principal Components Analysis of Shanghai Stock Exchange 50 Index

Discrete Dynamics in Nature and Society, 2014
The main purpose of this paper is to explore the principle components of Shanghai stock exchange 50 index by means of functional principal component analysis (FPCA).
Zhiliang Wang, Yalin Sun, Peng Li
doaj   +2 more sources

Functional quantile principal component analysis. [PDF]

Biostatistics
This paper introduces functional quantile principal component analysis (FQPCA), a dimensionality reduction technique that extends the concept of functional principal components analysis (FPCA) to the examination of participant-specific quantiles curves ...
Méndez-Civieta Á, Wei Y, Diaz KM, Goldsmith J.   +3 more
europepmc   +2 more sources

Association Between Physical Activity Timing and Metabolic Syndrome in Korea: A Functional Principal Component Approach. [PDF]

Healthcare (Basel)
Background: Metabolic syndrome (MetS), characterized by the co-occurrence of obesity, hypertension, hyperglycemia, and dyslipidemia, substantially increases the risk of cardiovascular disease and type 2 diabetes. In South Korea, the prevalence of MetS is
Park S, Jee HJ.
europepmc   +2 more sources

Multilevel Multivariate Functional Principal Component Analysis of Evoked and Induced Event-Related Spectral Perturbations. [PDF]

Stat Biosci
Dong M, Telesca D, Dickinson A, Sugar C, Webb SJ, Jeste S, Levin AR, Shic F, Naples A, Faja S, Dawson G, McPartland JC, Şentürk D.   +12 more
europepmc   +2 more sources