Learning Developmental Age From 3D Infant Kinetics Using Adaptive Graph Neural Networks

Reliable methods for the neurodevelopmental assessment of infants are essential for early detection of problems that may need prompt interventions. Spontaneous motor activity, or ‘kinetics’, is shown to provide a powerful surrogate measure of upcoming neurodevelopment. However,...

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Bibliographic Details

Published in:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Main Authors:	Daniel Holmberg, Manu Airaksinen, Viviana Marchi, Andrea Guzzetta, Anna Tuiskula, Leena Haataja, Sampsa Vanhatalo, Teemu Roos
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Motion analysis neurodevelopment deep learning graph representation learning
Online Access:	https://ieeexplore.ieee.org/document/10994338/