Wireless Monitoring Device Screens Infants, Determines Risk Of Neurological Disorder Development
Tech ID: 21662 / UC Case 2011-032-0
Researchers at the University of California, Irvine have developed a novel, non-invasive system to measure, quantify and analyze the spontaneous movements of infants in order to predict neurological disorders.
The system involves capturing subtle movements of infants. This information is then analyzed and modeled by software.
Movements identified may indicate that the infant has an increased risk for cerebral palsy, seizures, autism, intraventricular hemorrhage, cognitive delay or other neurological or motor conditions. By comparing to standards, the information may be used by a clinician to categorize the infant as either a high risk or low risk for the development of a neurological disorder.
This invention is the first to predict neurological disorders using a non-invasive measure of spontaneous movement in infants. This system overcomes the current difficulties encountered with human observers, such as subjectivity and fatigue.
State Of Development
A prototype has been developed and tested.
Applications of the system can extend to clinical and research studies in neurology, behavioral and movement disorders, and metabolism in pediatrics. Ultimately, this system could be used as a screening test for infants in the neonatal intensive care unit.
The system has been tested on preterm infants in a clinical setting.
|United States Of America||Published Application||20120059283||03/08/2012||2011-032|
- Research Tools
- Sensors & Instrumentation
Infant Movement Diagnostics, IMD, preterm births, cerebral palsy, CP early diagnosis, CP diagnostic tools, CP early intervention, neurological diseases, behavioral and movement disorders, General Movements Assessment, GMA, spontaneous infant movements
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