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Evaluation of the repeatability of kinesiological measurements of spontaneous infant movements using OSESEC computer analysis algorithms Cover

Evaluation of the repeatability of kinesiological measurements of spontaneous infant movements using OSESEC computer analysis algorithms

Open Access
|Apr 2024

Abstract

Purpose: There is a need to create objective and reproducible tool for assessing the quality of infant movements. It’s substantially important to detect movement disorders in infants as early as possible. The study aimed to evaluate the reproducibility of kinesiological measurements of spontaneous movements performed by 51 infants (aged 6 to 15 weeks) recorded three times for two consecutive days using OSESEC computer analysis algorithms by determining numerical values of parameters, i.e., speed, acceleration, direction, and movement trajectory.

Methods: The study group consisted of 51 infants. The diagnostic method of Prechtl was used for qualitative assessment. The quantitative assessment was based on the use of a OSESEC system. Numerical values for all movement parameters were determined, and the data obtained in the study were used for statistical analysis.

Results: Analysis including movement parameter values on three consecutive recordings for the same infant revealed no statistically significant differences in location ( p = 0.073), range ( p = 0.557), shape ( p = 0.289), mean acceleration ( p = 0.124) and mean speed ( p = 0.767). This confirms the reproducibility of measurements of the proposed parameters of the objectification of spontaneous infant movements.

Conclusions: The interpretability and accuracy of the presented parameters were proved. All parameters estimation is fully automated. Further research and testing requires a larger study group to create an objective diagnostic device for infants.

DOI: https://doi.org/10.37190/abb-02358-2023-02 | Journal eISSN: 2450-6303 | Journal ISSN: 1509-409X
Language: English
Page range: 67 - 75
Submitted on: Dec 1, 2023
Accepted on: Apr 24, 2024
Published on: Apr 24, 2024
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Katarzyna Kieszczyńska, Iwona Doroniewicz, Monika Bugdol, Daniel Ledwoń, Alicja Affanasowicz, Dominika Latos, Małgorzata Matyja, Andrzej Myśliwiec, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.