Publication Details

GROWTH: Functional Data Analysis of the human height postnatal growth in an on-line application

KLÍMA Ondřej, ČUTA Martin, POLCEROVÁ Lenka, ZEMČÍK Pavel, ŠKULTÉTYOVÁ Anna and KRÁLÍK Miroslav. GROWTH: Functional Data Analysis of the human height postnatal growth in an on-line application. Anthropologia integra, vol. 2021, no. 2, pp. 7-17. ISSN 1804-6657. Available from: https://journals.muni.cz/anthropologia_integra/article/viewFile/18581/14682
Czech title
Growth: on-line aplikace pro funkční analýzu dat postnatálního růstu výšky postavy člověka
Type
journal article
Language
english
Authors
Klíma Ondřej, Ing., Ph.D. (DCGM FIT BUT)
Čuta Martin, Mgr., Ph.D. (MUNI)
Polcerová Lenka, Mgr. (MUNI)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)
Škultétyová Anna (SCI MUNI)
Králík Miroslav, doc. RNDr., Ph.D. (MUNI)
URL
Keywords

body height; postnatal growth; growth modelling; growth curve; Functional Data Analysis

Abstract

Monitoring of individual growth is required on daily basis in paediatric practice, oft en accompanied by need for more in-depth analyses. Sports anthropologists and researchers in the fi eld of human biology also need to analyze human growth. To allow clinicians and researchers to monitor human growth and analyze it in advanced manner, easy-to-use free application would be benefi cial. Th e application, GROWTH, was developed based on an understanding of the biological processes of human growth and mathematical approaches that provide the most appropriate model for individual (longitudinal) empirical data. Th e application is designed to be used in daily paediatric practice. It provides clinicians with tools to monitor growth, predict attained height and diagnose pathological growth patterns. Advanced analysis includes the timing of major growth milestones. The current version is the culmination of a multi-stage development of the application and is based on Functional Principal Components Analysis method with numerical optimization. Th e output parameters are easy to use and are displayed both numerically and graphically.

Published
2021
Pages
7-17
Journal
Anthropologia integra, vol. 2021, no. 2, ISSN 1804-6657
Publisher
Masaryk University
DOI
10.5817/AI2021-2-7
BibTeX 
@ARTICLE{FITPUB12645,
   author = "Ond\v{r}ej Kl\'{i}ma and Martin \v{C}uta and Lenka Polcerov\'{a} and Pavel Zem\v{c}\'{i}k and Anna \v{S}kult\'{e}tyov\'{a} and Miroslav Kr\'{a}l\'{i}k",
   title = "GROWTH: Functional Data Analysis of the human height postnatal growth in an on-line application",
   pages = "7--17",
   journal = "Anthropologia integra",
   volume = 2021,
   number = 2,
   year = 2021,
   ISSN = "1804-6657",
   doi = "10.5817/AI2021-2-7",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12645"
}
Back to top