ArticleDevelopmental cognitive neuroscience2024
Remote data collection of infant activity and sleep patterns via wearable sensors in the HEALthy Brain and Child Development Study (HBCD).
Article in Developmental cognitive neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Gross motor performance of infants with an at-home wearable measurement and the Alberta Infant Motor Scale: A concurrent validity study.Developmental medicine and child neurology · 2026Observational
- 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.Infant behavior & development · 2026Article
- Assessing infants' sleep in the home setting: designing rational study approaches.Pediatric research · 2026Review
- Longitudinal Infant Sleep Monitoring Using a Sensor-Enabled Responsive Bassinet: A Population-Scale Feasibility Study.Sensors (Basel, Switzerland) · 2026Article
- Prenatal Substance Exposure and Birth Weight: Findings From the HEALthy Brain and Child Development Study.Pediatrics · 2026Observational
- Viewpoint: Next-Generation Sensor Technologies for Studying Mental Health.IEEE sensors letters · 2026Article
- Physiology of everyday sleep and physical activity: An exploratory mixed-methods study of multi-sensor wearables for infants and toddlers.Behavior research methods · 2026Article
- Enhancing wearable sensor data analysis for patient health monitoring using allied data disparity technique and multi instance ensemble perceptron learning.Scientific reports · 2025Article
- Biospecimens in the HEALthy Brain and Child Development (HBCD) Study: Rationale and protocol.Developmental cognitive neuroscience · 2024Article
- ¿Donde están? Hispanic/Latine inclusion, diversity and representation in the HEALthy Brain and Child Development Study (HBCD).Developmental cognitive neuroscience · 2024Article
- Remote data collection of infant activity and sleep patterns via wearable sensors in the HEALthy Brain and Child Development Study (HBCD).Developmental cognitive neuroscience · 2024Article
- The HEALthy Brain and Child Development Study (HBCD): NIH collaboration to understand the impacts of prenatal and early life experiences on brain development.Developmental cognitive neuroscience · 2024Article
- Advancing high quality longitudinal data collection: Implications for the HEALthy Brain and Child Development (HBCD) Study design and recruitment.Developmental cognitive neuroscience · 2024Article
- Infant and early childhood physical health assessments in the HEALthy Brain and Child Development (HBCD) Study.Developmental cognitive neuroscience · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. Wearable and remote sensing technologies have advanced data collection outside of laboratory settings to enable exploring, in more detail, the associations of early experiences with brain development and social and health outcomes. In the HBCD Study, the Novel Technology/Wearable Sensors Working Group (WG-NTW) identified two primary data types to be collected: infant activity (by measuring leg movements) and sleep (by measuring heart rate and leg movements). These wearable technologies allow for remote collection in the natural environment. This paper illustrates the collection of such data via wearable technologies and describes the decision-making framework, which led to the currently deployed study design, data collection protocol, and derivatives, which will be made publicly available. Moreover, considerations regarding actual and potential challenges to adoption and use, data management, privacy, and participant burden were examined. Lastly, the present limitations in the field of wearable sensor data collection and analysis will be discussed in terms of extant validation studies, the difficulties in comparing performance across different devices, and the impact of evolving hardware/software/firmware.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.