56 Automated assessment of selective motor control in preterm infants using computer vision
Divya Joshi, Colleen Peyton, James Cotton · 2026
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Description
Divya Joshi, Colleen Peyton, and James Cotton build a video based tool to score movement control in preterm babies. Their 2026 study deals with cerebral palsy, where a child cannot move each joint on its own. Single camera videos of 600 babies at fifteen weeks are used. All babies have standard clinic scores for comparison.
Software tracks body pose and builds three dimensional paths for the joints. Those paths train a model to give the clinic score on its own. The model will then score videos of forty seven preterm babies, taken each two weeks from birth to sixteen weeks. Scores of babies later found to have the condition will be compared with those who did not. The aim is an early, low cost screen.
Catalog record
| CREATOR | Divya Joshi, Colleen Peyton, James Cotton |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |