Associating neuromotor outcomes at 12 months with wearable sensor measures collected during early infancy in rural Guatemala.

Background: Sensitive measures to predict neuromotor outcomes from data collected early in infancy are lacking. Measures derived from the recordings of infant movement using wearable sensors may be a useful new technique.

Methods: We collected full-day leg movement of 41 infants in rural Guatemala across 3 visits between birth and 6 months of age using wearable sensors.

Early full-day leg movement kinematics and swaddling patterns in infants in rural Guatemala: A pilot study.

Background: Tools to accurately assess infants' neurodevelopmental status very early in their lives are limited. Wearable sensors may provide a novel approach for very early assessment of infant neurodevelopmental status. This may be especially relevant in rural and low-resource global settings.