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Quantified Assessment of Infant’s Gross Motor Abilities Using a Multisensor Wearable
1BABA Center, Pediatric Research Center, Department of Clinical Neurophysiology, New Children’s Hospital and HUS Imaging, Helsinki,University Hospital, 2Department of Pediatric Neurology, Children’s Hospital,Helsinki University Hospital and University of Helsinki, 3Department of Materials Science and Engineering,Universitat Politècnica de Catalunya, 4Department of Physiology,University of Helsinki
Chapters
- 00:05Introduction
- 01:27Preparing the Suit for a Recording Session
- 03:22Preparing and Dressing the Infant for a Recording Session
- 03:54Recording Session
- 05:18Cloud-based Analyses: Upload of Raw Data and Download of Results
- 06:15Representative Results
- 08:21Discussion
This paper outlines the assessment of infants' gross motor performance with a multisensor wearable and its fully automated deep learning-based analysis pipeline. The method quantifies the posture and movement patterns of infants from lying supine until they master walking independently.
