17 citations · 17 across the 2 of their papers we have counts for
3 papers
Deep learning empowered sensor fusion boosts infant movement classification
Tomas Kulvicius, Dajie Zhang, Luise Poustka +8
To assess the integrity of the developing nervous system, the Prechtl general movement assessment (GMA) is recognized for its clinical value in diagnosing neurological impairments…
Mobile solutions for clinical surveillance and evaluation in infancy -- General Movement Apps
Peter B Marschik, Amanda KL Kwong, Nelson Silva +10
The Prechtl General Movements Assessment (GMA) has become a clinician and researcher tool-box for evaluating neurodevelopment in early infancy. Given it involves observation of inf…
Facilitating deep acoustic phenotyping: A basic coding scheme of infant vocalisations preluding computational analysis, machine learning and clinical reasoning
Tomas Kulvicius, Sigrun Lang, Claudius AA Widmann +5
Theoretical background: early verbal development is not yet fully understood, especially in its formative phase. Research question: can a reliable, easy-to-use coding scheme for th…