Results 1 to 10 of about 2,322 (129)

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   +2 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   +2 more sources

Analysis of the regional differences between fixed assets investment and China's economic growth from the perspective of functional data [PDF]

MATEC Web of Conferences, 2021
Investment, consumption and export are the troika which promotes China's economic development. Investment is the most important factor and plays a vital role to drive economic growth.
Cheng Tianqi, Chen Guici, Zhang Zuo, Jiang Feng   +3 more
doaj   +1 more source

Optimal Estimation of Large Functional and Longitudinal Data by Using Functional Linear Mixed Model

Mathematics, 2022
The estimation of large functional and longitudinal data, which refers to the estimation of mean function, estimation of covariance function, and prediction of individual trajectory, is one of the most challenging problems in the field of high ...
Mengfei Ran, Yihe Yang
doaj   +1 more source

Application of Functional Principal Component Analysis in the Spatiotemporal Land-Use Regression Modeling of PM_2.5

Atmosphere, 2023
Functional data are generally curves indexed over a time domain, and land-use regression (LUR) is a promising spatial technique for generating high-resolution spatial estimation of retrospective long-term air pollutants.
Mahmood Taghavi, Ghader Ghanizadeh, Mohammad Ghasemi, Alessandro Fassò, Gerard Hoek, Kiavash Hushmandi, Mehdi Raei   +6 more
doaj   +1 more source

Power transformer oil–paper insulation degradation modelling and prediction method based on functional principal component analysis

IET Science, Measurement & Technology, 2022
This study is for the case where the available data of power transformer oil–paper insulation is limited to a small amount furfural data, to solve the problems in oil–paper insulation degradation modelling, such as few samples available, unknown function
Yuehan Qu, Hongshan Zhao, Shice Zhao, Libo Ma, Zengqiang Mi   +4 more
doaj   +1 more source

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   +1 more source

Functional Analysis of Continuous, High-Resolution Measures in Aging Research: A Demonstration Using Cerebral Oxygenation Data From the Irish Longitudinal Study on Aging

Frontiers in Human Neuroscience, 2020
Background: A shift towards the dynamic measurement of physiologic resilience and improved technology incorporated into experimental paradigms in aging research is producing high-resolution data.
John D. O’Connor, Matthew D. L. O’Connell, Matthew D. L. O’Connell, Roman Romero-Ortuno, Roman Romero-Ortuno, Belinda Hernández, Louise Newman, Richard B. Reilly, Rose Anne Kenny, Silvin P. Knight   +9 more
doaj   +1 more source

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   +1 more source

Functional Analysis for Habitat Mapping in a Special Area of Conservation Using Sentinel-2 Time-Series Data

Remote Sensing, 2022
The mapping and monitoring of natural and semi-natural habitats are crucial activities and are regulated by European policies and regulations, such as the 92/43/EEC. In the Mediterranean area, which is characterized by high vegetational and environmental
Simone Pesaresi, Adriano Mancini, Giacomo Quattrini, Simona Casavecchia   +3 more
doaj   +1 more source