Academic Journal
Characterizing infant leg movements using 72-h wearable sensor data: Descriptive analysis from a large, heterogenous sample of infants 0-2 months of age from the HEALthy Brain and Child Development Study.
| Τίτλος: | Characterizing infant leg movements using 72-h wearable sensor data: Descriptive analysis from a large, heterogenous sample of infants 0-2 months of age from the HEALthy Brain and Child Development Study. |
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| Συγγραφείς: | Oh J; Division of Developmental-Behavioral Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA., Pini N; Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA; Division of Developmental Neuroscience, New York State Psychiatric Institute, New York, NY, USA., Nebeker C; Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, CA, USA; The Qualcomm Institute, UC San Diego, La Jolla, CA, USA., Smith BA; Division of Developmental-Behavioral Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA; Developmental Neuroscience and Neurogenetics Program, The Saban Research Institute, Children's Hospital Los Angeles, Los Angeles, CA, USA; Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. Electronic address: bsmith@chla.usc.edu. |
| Συλλογικό Έργο: | Novel Technology/Wearable Sensors Working Group |
| Πηγή: | Infant behavior & development [Infant Behav Dev] 2026 Sep; Vol. 84, pp. 102199. Date of Electronic Publication: 2026 Jun 04. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Ablex Country of Publication: United States NLM ID: 7806016 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0453 (Electronic) Linking ISSN: 01636383 NLM ISO Abbreviation: Infant Behav Dev Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Norwood, N. J., Ablex. |
| Ιατρικοί όροι (MeSH): | Leg*/physiology , Child Development*/physiology , Motor Activity*/physiology , Wearable Electronic Devices*, Movement/physiology ; Humans ; Infant ; Female ; Male ; Infant, Newborn |
| Περίληψη: | Spontaneous limb movements provide the foundation for motor development, yet knowledge of their normative characteristics has been limited by small homogenous samples and short observation windows. Leveraging the HEALthy Brain and Child Development (HBCD) study, we present descriptive characteristics of the first large-scale dataset of leg movements from 421 infants aged 0-2 months, captured with wearable sensors worn continuously for 72 h in naturalistic settings across multiple research sites in the United States. Our analysis focused on three domains: movement characteristics, variability of movement acceleration time-series, and physical activity intensity. Movement characteristics included leg movements per hour awake, peak acceleration per movement, average acceleration per movement, and movement duration. These characteristics aligned with earlier smaller-scale studies and showed highly consistent patterns between right and left legs. Sample entropy analysis revealed left-skewed distributions with median values near 1.3. Physical activity intensity estimations showed that infants spent the majority of time in sedentary activity, followed by light activity, with only brief periods of moderate-to-vigorous activity. Together, these findings provide initial characterization of multiple dimensions of infant leg movements, hence significantly contributing to derive reference distributions in early life. By establishing scalable, ecologically valid, and computationally tractable measures of infant motor behavior, this study lays the groundwork for integrating wearable sensing with longitudinal developmental science and for identifying early indicators of atypical trajectories. Ultimately, these findings contribute to the broader goals of the HBCD study: to understand how the brain develops and is shaped by environmental, social, and biological factors during pregnancy and after birth. (Copyright © 2026 The Authors. Published by Elsevier Inc. All rights reserved.) |
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| Grant Information: | P41 EB028242 United States EB NIBIB NIH HHS; U01 DA055362 United States DA NIDA NIH HHS; U24 DA055330 United States DA NIDA NIH HHS |
| Contributed Indexing: | Keywords: HBCD Study; Infant motor development; Leg movements; Physical activity; Sample entropy; Wearable sensors |
| Entry Date(s): | Date Created: 20260604 Date Completed: 20260907 Latest Revision: 20260922 |
| Update Code: | 20260922 |
| PubMed Central ID: | PMC13284690 |
| DOI: | 10.1016/j.infbeh.2026.102199 |
| PMID: | 42241920 |
| Βάση Δεδομένων: | MEDLINE |
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