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Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Article DOI: 10.3791/65949-v • 09:24 min • May 17th, 2024
May 17th, 2024 •
1, 1, 1, 2, 3, 1,2, 1,2, 1,4
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

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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.

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motor development neurodevelopment out-of-hospital motor milestones neurodevelopmental assessment pediatrics human activity recognition wearable IMU sensor movement assessment
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