Literature DB >> 26217934

Test-retest reliability of computer-based video analysis of general movements in healthy term-born infants.

Susanne Collier Valle1, Ragnhild Støen2, Rannei Sæther3, Alexander Refsum Jensenius4, Lars Adde5.   

Abstract

BACKGROUND: A computer-based video analysis has recently been presented for quantitative assessment of general movements (GMs). This method's test-retest reliability, however, has not yet been evaluated. AIMS: The aim of the current study was to evaluate the test-retest reliability of computer-based video analysis of GMs, and to explore the association between computer-based video analysis and the temporal organization of fidgety movements (FMs). STUDY
DESIGN: Test-retest reliability study.
SUBJECTS: 75 healthy, term-born infants were recorded twice the same day during the FMs period using a standardized video set-up. OUTCOME MEASURES: The computer-based movement variables "quantity of motion mean" (Qmean), "quantity of motion standard deviation" (QSD) and "centroid of motion standard deviation" (CSD) were analyzed, reflecting the amount of motion and the variability of the spatial center of motion of the infant, respectively. In addition, the association between the variable CSD and the temporal organization of FMs was explored. Intraclass correlation coefficients (ICC 1.1 and ICC 3.1) were calculated to assess test-retest reliability.
RESULTS: The ICC values for the variables CSD, Qmean and QSD were 0.80, 0.80 and 0.86 for ICC (1.1), respectively; and 0.80, 0.86 and 0.90 for ICC (3.1), respectively. There were significantly lower CSD values in the recordings with continual FMs compared to the recordings with intermittent FMs (p<0.05).
CONCLUSION: This study showed high test-retest reliability of computer-based video analysis of GMs, and a significant association between our computer-based video analysis and the temporal organization of FMs.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cerebral palsy; Computerized GM assessment; Fidgety movements; General movements; Neurodevelopmental assessment; Reliability

Mesh:

Year:  2015        PMID: 26217934     DOI: 10.1016/j.earlhumdev.2015.07.001

Source DB:  PubMed          Journal:  Early Hum Dev        ISSN: 0378-3782            Impact factor:   2.079


  3 in total

1.  Computer-based video analysis identifies infants with absence of fidgety movements.

Authors:  Ragnhild Støen; Nils Thomas Songstad; Inger Elisabeth Silberg; Toril Fjørtoft; Alexander Refsum Jensenius; Lars Adde
Journal:  Pediatr Res       Date:  2017-07-26       Impact factor: 3.756

2.  The shape of disposable diaper affects spontaneous movements of lower limbs in young infants.

Authors:  Hirotaka Gima; Midori Teshima; Etsuko Tagami; Toshihiro Sato; Hidenobu Ohta
Journal:  Sci Rep       Date:  2019-11-07       Impact factor: 4.379

Review 3.  The future of General Movement Assessment: The role of computer vision and machine learning - A scoping review.

Authors:  Nelson Silva; Dajie Zhang; Tomas Kulvicius; Alexander Gail; Carla Barreiros; Stefanie Lindstaedt; Marc Kraft; Sven Bölte; Luise Poustka; Karin Nielsen-Saines; Florentin Wörgötter; Christa Einspieler; Peter B Marschik
Journal:  Res Dev Disabil       Date:  2021-02-08
  3 in total

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