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Abstract

Neuroscience

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

Published: May 17th, 2024

DOI:

10.3791/65949

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

Abstract

Developing objective and quantitative methods of early gross motor assessment is essential to better understand neurodevelopment and to support early therapeutic interventions. Here, we present a method to quantify gross motor performance using a multisensor wearable, MAIJU (Motility Assessment of Infants with a JUmpsuit), which offers an automated, scalable, quantitative, and objective assessment using a fully automated cloud-based pipeline. This wearable suit is equipped with four movement sensors that record synchronized data to a mobile phone utilizing a low-energy Bluetooth connection. An offline analysis in the cloud server generates fully analyzed results within minutes for each recording. These results include a graphical report of the recording session and a detailed result matrix that gives second-by-second classifications for posture, movement, infant carrying, and free playtime. Our recent results show the virtue of such quantified motor assessment providing a potentially effective method for distinguishing variations in the infant's gross motor development.

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Keywords Multisensor Wearable

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