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.
Study Type
OBSERVATIONAL
Enrollment
150
Shirley Ryan AbilityLab
Chicago, Illinois, United States
University of Illinois at Chicago
Chicago, Illinois, United States
Three month clinical score estimation
Error between true clinical test scores and scores estimated from sensor and video data, assessed at the 3 month time-point.
Time frame: 3 months
Six month clinical score estimation
Error between true clinical test scores and scores estimated from sensor and video data, assessed at 6 month time-point.
Time frame: 6 months
Prediction of neuromotor outcome using sensor and video data from 3 month time-point
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 \[PDMS-2\])
Time frame: 3 months
Prediction of neuromotor outcome using sensor and video data from 6 month time-point
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 \[PDMS-2\])
Time frame: 6 months
Prediction of neuromotor outcome using General Movements Assessment (GMA) scores
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.
Time frame: 1-2 weeks, 1 month, 3 months
Prediction of neuromotor outcome using Alberta Infant Motor Scale (AIMS) scores
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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.
Time frame: 6 months, 9 months, 1 year
Prediction of neuromotor outcome using Hammersmith Infant Neurological Examination (HINE) scores
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.
Time frame: 6 months, 9 months, 1 year
Prediction of neuromotor outcome using Test of Infant Motor Performance (TIMP) scores
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 \[PDMS-2\]).
Time frame: 1-2 weeks, 1 month, 3 months
Clinical score estimation
Error between true clinical test scores and scores estimated from sensor and video data, assessed at each remaining time-point.
Time frame: 1-2 weeks, 1 month, 9 months, 1 year, 2 years
Prediction of neuromotor outcome at 2 years using sensor and video data from the remaining time-points
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 \[PDMS-2\])
Time frame: 1-2 weeks, 1 month, 9 months, 1 year, 2 years