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Peer-Reviewed Publication
Acta Paediatr2019;108(10):1817-1824.October 1, 2019Evaluation Study

Automated pose estimation captures key aspects of General Movements at eight to 17 weeks from conventional videos.

Viviana Marchi1,2, Anna Hakala3, Andrew Knight3, Federica D'Acunto2, Maria Luisa Scattoni4, Andrea Guzzetta2,5, Sampsa Vanhatalo6
1Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.
2Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy.
3Neuro Event Labs Oy (2712284-1), Tampere, Finland.
4Research Coordination and Support Service, Istituto Superiore di Sanità, Rome, Italy.
5Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
6Department of Clinical Neurophysiology, Children's Hospital, University of Helsinki and Helsinki University Hospital (HUH), Helsinki, Finland.
PubMed DOI

Abstract

AIM: General movement assessment requires substantial expertise for accurate visual interpretation. Our aim was to evaluate an automated pose estimation method, using conventional video records, to see if it could capture infant movements using objective biomarkers. METHODS: We selected archived videos from 21 infants aged eight to 17 weeks who had taken part in studies at the IRCCS Fondazione St…

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