Developmental Disability, Motor Delay, Neurodevelopmental Disorders
Conditions
Keywords
Early Detection, Wearable Sensors, Computer Vision
Brief summary
The objective of this study is to develop an automated, precise, quantitative assay for detecting atypical motor behavior and development in infants using data from wearable sensors and video recordings.
Interventions
None listed
Sponsors
Shirley Ryan AbilityLab
Ann & Robert H Lurie Children's Hospital of Chicago
Northwestern University
University of Illinois at Chicago
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
0 Months to 24 Months
Healthy volunteers
No
Inclusion criteria
* Individuals identified as potentially at risk of abnormal motor development due to a risk factor (for example, prematurity, neonatal hypoxic ischemic encephalopathy, or neonatal stroke) OR control individuals for whom normal motor development is expected. * Age: \< 24 months of age * Legal guardian able and willing to give written consent and comply with study procedures. * In case of multiple pregnancies, only one child selected at random will participate in the research activities. Study staff will have no influence over the selection, besides any known medical condition automatically excluding the baby as listed in our
Exclusion criteria
.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Three month clinical score estimation | 3 months | Error between true clinical test scores and scores estimated from sensor and video data, assessed at the 3 month time-point. |
| Six month clinical score estimation | 6 months | Error between true clinical test scores and scores estimated from sensor and video data, assessed at 6 month time-point. |
| Prediction of neuromotor outcome using sensor and video data from 3 month time-point | 3 months | Sensitivity and specificity of algorithm (trained on sensor and video data from the 3 month time-point) to predict neuromotor outcome at final study visit (as measured by the Peabody Developmental Motor Scales, second edition \[PDMS-2\]) |
| Prediction of neuromotor outcome using sensor and video data from 6 month time-point | 6 months | Sensitivity and specificity of algorithm (trained on sensor and video data from the 6 month time-point) to predict neuromotor outcome at final study visit (as measured by the Peabody Developmental Motor Scales, second edition \[PDMS-2\]) |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Prediction of neuromotor outcome using General Movements Assessment (GMA) scores | 1-2 weeks, 1 month, 3 months | Sensitivity and specificity of GMA scores (taken at 1-2 weeks, 1 month, 3 months) to predict neuromotor outcome at final study visit (as measured by the Peabody Developmental Motor Scales, second edition \[PDMS-2\]). The GMA is an observational exam where an infant's spontaneous movements are scored as atypical or normal for their age. |
| Prediction of neuromotor outcome using Alberta Infant Motor Scale (AIMS) scores | 6 months, 9 months, 1 year | Sensitivity and specificity of AIMS scores (taken at 6 months, 9 months, 1 year) to predict neuromotor outcome at final study visit (as measured by the Peabody Developmental Motor Scales, second edition \[PDMS-2\]). The AIMS is a norm-referenced observational assessment with a minimum score of 0 and a maximum score of 58. Higher scores indicate better motor performance on the assessment. |
| Prediction of neuromotor outcome using Hammersmith Infant Neurological Examination (HINE) scores | 6 months, 9 months, 1 year | Sensitivity and specificity of HINE scores (taken at 6 months, 9 months, 1 year) to predict neuromotor outcome at final study visit (as measured by the Peabody Developmental Motor Scales, second edition \[PDMS-2\]). The HINE is a neurological exam with a minimum score of 0 and a maximum score of 78. Higher scores indicate better performance on the assessment. |
| Prediction of neuromotor outcome using Test of Infant Motor Performance (TIMP) scores | 1-2 weeks, 1 month, 3 months | Sensitivity and specificity of TIMP scores (taken at 1-2 weeks, 1 month, 3 months) to predict neuromotor outcome at final study visit (as measured by the Peabody Developmental Motor Scales, second edition \[PDMS-2\]). |
| Clinical score estimation | 1-2 weeks, 1 month, 9 months, 1 year, 2 years | Error between true clinical test scores and scores estimated from sensor and video data, assessed at each remaining time-point. |
| Prediction of neuromotor outcome at 2 years using sensor and video data from the remaining time-points | 1-2 weeks, 1 month, 9 months, 1 year, 2 years | Sensitivity and specificity of algorithm (trained on sensor and video data from the remaining time-points) to predict neuromotor outcome at 2 years (as measured by the Peabody Developmental Motor Scales, second edition \[PDMS-2\]) |
Countries
United States
Contacts
PRINCIPAL_INVESTIGATORArun Jayaraman, PT, PhD
Shirley Ryan AbilityLab
Outcome results
None listed