# Wearable Sensors for Early Identification of Poor Neurodevelopment in Guatemala

> **NIH NIH R21** · CHILDREN'S HOSPITAL OF LOS ANGELES · 2020 · $187,507

## Abstract

Project Summary
In most low- and middle-income countries (LMICs), more children are surviving into adulthood affected by the
developmental sequelae of early illness, undernutrition and adverse experiences. In rural Guatemala, where the
proposed study would take place, the number of infants at risk for impaired development is among the highest
in the world, due to high rates of undernutrition, poverty, and limited preventive health care. To identify and target
services to infants at children at risk, most community programs rely on basic growth indicators or parent-
reported concerns, techniques which are indirect measures of development and not sensitive in infancy. As a
result, data on the onset of developmental disabilities in infants are almost completely missing, and early
interventions are begun well after significant adverse effects have already occurred. Technologies to support
earlier identification of atypical development would therefore support earlier intervention and improved
neurodevelopmental outcomes.
As limb movements are one of the earliest outputs of the developing central nervous system, the novel response
to this early identification challenge proposed here is to quantitatively differentiate typical and atypical early limb
movement patterns in infants at risk for developmental disability due to stunting in rural Guatemala using
wearable motion sensors. The first aim of this project is to determine the relationship between infants’ earliest
spontaneous limb movements and developmental outcomes at 12 months in infants at risk using wearable
motion sensors. The second aim of this project is to determine whether wearable sensor assessment is more
accurate than current clinical assessments in predicting developmental outcomes in infants at risk.
Taken together, our work addresses the need for novel approaches for infants with atypical neurodevelopment
due to undernutrition and other risk factors. We will conduct this work in rural Guatemala, which has one of the
highest rates of these infant risk factors in the world. Our results have the potential to improve quality of life and
health outcomes for Guatemalans and other LMIC citizens through earlier identification of atypical development,
supporting earlier intervention and improved neurodevelopmental outcomes. Further, this
exploratory/developmental research application is a multidisciplinary capacity-building project involving pediatric
medicine, physical therapy, and biostatistics. The project will build research capacity in Guatemala, through a
partnership between the University of Southern California (a U.S. institution) and Maya Health Alliance (an LMIC
institution). The proposed research plan will strengthen the research capabilities at the LMIC institution and in
Guatemala, specifically through training of local healthcare staff and PhD students in conducting
neurodevelopmental assessments in infants, a critical need given the high local prevalence of developmental
disabili...

## Key facts

- **NIH application ID:** 10259122
- **Project number:** 7R21HD096521-03
- **Recipient organization:** CHILDREN'S HOSPITAL OF LOS ANGELES
- **Principal Investigator:** Peter Rohloff
- **Activity code:** R21 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $187,507
- **Award type:** 7
- **Project period:** 2020-09-09 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10259122

## Citation

> US National Institutes of Health, RePORTER application 10259122, Wearable Sensors for Early Identification of Poor Neurodevelopment in Guatemala (7R21HD096521-03). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10259122. Licensed CC0.

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