Temporal and spatial variability of the fidgety movement descriptors and their relation to head position in automized general movement assessment

• Published in: Acta of bioengineering and biomechanics Vol. 23; no. 3; p. 69
• Main Authors: Doroniewicz, Iwona, Ledwoń, Daniel, Danch-Wierzchowska, Marta, Budgol, Monika, Kieszczyńska, Katarzyna, Affanasowicz, Alicja, Matyja, Małgorzata, Michnik, Robert, Mitas, Andrzej W., Myśliwiec, Andrzej
• Format: Journal Article
• Language: English
• Published: Poland 01.01.2021
• Subjects: Child; Humans; Infant; Movement
• ISSN: 1509-409X; 1509-409X
• DOI: 10.37190/ABB-01839-2021-02

Purpose: In clinical practice, motor development in infants is assessed subjectively. Many researchers propose objective methods, which have numerous limitations, by attaching markers or sensors to the child’s limbs. The purpose of this study is to attempt to develop objectified numerical indices to describe the limb movements of infants without interfering with spontaneous activity. Methods: 20-minute video recordings of three infants’ movements who were purposively selected from 51 subjects were included in the study. The procedure of automatic calculation of head position time in 3 positions was applied. Movement features were determined to allow for the delineation of coefficients describing the movement in numerical values. Results: Presented parameters describe three infant’s movement aspects: quality (strength), distribution of postural tonus and asymmetry in relation to head position, described as four independent values. Estimated parameters variability over time was weighted up according to expert observations. The presented method is a direct reflection of infants' observation, currently performed by highly educated and experienced therapists. Conclusions: The interpretability and usefulness of the presented parameters were proved. All parameters estimation is fully automated. The conducted research is a prelude to future work related to creating an objective and repeatable tool, initially monitoring and ultimately supporting early diagnosis for differentiating normal and abnormal motor development.