Novel AI driven approach to classify infant motor functions
Abstract The past decade has evinced a boom of computer-based approaches to aid movement assessment in early infancy. Increasing interests have been dedicated to develop AI driven approaches to complement the classic Prechtl general movements assessment (GMA). This study proposes a novel machine lea...
Enregistré dans:
Auteurs principaux: | Simon Reich, Dajie Zhang, Tomas Kulvicius, Sven Bölte, Karin Nielsen-Saines, Florian B. Pokorny, Robert Peharz, Luise Poustka, Florentin Wörgötter, Christa Einspieler, Peter B. Marschik |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/5e84508d3ab84cf5b9b5854daeaa0dd4 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Exploring new roles for actin upon LTP induction in dendritic spines
par: Mayte Bonilla-Quintana, et autres
Publié: (2021) -
AI
Publié: (2020) -
Analyzing and Classifying Risks Arising During Innovation Project Implementation in Aircraft Motor-Building
par: T. B. Timofeeva, et autres
Publié: (2021) -
AI & society
Publié: (1988) -
Self-organized criticality in developing neuronal networks.
par: Christian Tetzlaff, et autres
Publié: (2010)