Automated postural asymmetry assessment in infants neurodevelopmental evaluation using novel video-based features.

Journal: Computer methods and programs in biomedicine
Published Date:

Abstract

BACKGROUND AND OBJECTIVE: Neurodevelopmental assessment enables the identification of infant developmental disorders in the first months of life. Thus, the appropriate therapy can be initiated promptly, increasing the chances for correct motor function. Posture asymmetry is one of the crucial aspects evaluated during the diagnosis. Available diagnostic methods are mainly based on qualitative assessment and subjective expert opinion. Current trends in computer-aided diagnosis focus mostly on analyzing infants' spontaneous movement videos using artificial intelligence methods, based primarily on limbs movement. This study aims to develop an automatic method for determining the infant's positional asymmetry in a video recording using computer image processing methods.

Authors

  • Daniel Ledwoń
    Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland. Electronic address: daniel.ledwon@polsl.pl.
  • Marta Danch-Wierzchowska
    Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland.
  • Iwona Doroniewicz
    Institute of Physiotherapy and Health Science, Academy of Physical Education in Katowice, 40-065 Katowice, Poland.
  • Katarzyna Kieszczyńska
    Institute of Physiotherapy and Health Science, Academy of Physical Education in Katowice, 40-065 Katowice, Poland.
  • Alicja Affanasowicz
    Institute of Physiotherapy and Health Science, Academy of Physical Education in Katowice, 40-065 Katowice, Poland.
  • Dominika Latos
    Institute of Physiotherapy and Health Science, Academy of Physical Education in Katowice, 40-065 Katowice, Poland.
  • Małgorzata Matyja
    Institute of Physiotherapy and Health Science, Academy of Physical Education in Katowice, 40-065 Katowice, Poland.
  • Andrzej W Mitas
    Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland.
  • Andrzej Myśliwiec
    Institute of Physiotherapy and Health Science, Academy of Physical Education in Katowice, 40-065 Katowice, Poland.