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Development of a wearable sensor network for quantification of infant general movements for the diagnosis of Cerebral Palsy

conference contribution
posted on 17.04.2020, 00:00 by CB Redd, Lee BarberLee Barber, RN Boyd, M Varnfield, MK Karunanithi
Qualitative assessments of infant spontaneous movements can be performed to measure neurodevelopmental status and provide early insight into the presence of any abnormalities. Clinical assessments of infant movements at 12 weeks post term age are up to 98% predictive of the eventual development of Cerebral Palsy, but their reach is often limited to infants already identified as high-risk within the traditional healthcare system. We present the development of a network of wearable sensors designed to noninvasively measure spontaneous movements in infants from 12-20 weeks post-term- age both within the clinic and for future home use. Pilot data on a single healthy term infant is presented to demonstrate clinical functionality towards future validation studies in infants at high-risk of Cerebral Palsy. Using this system for tele- delivered assessments in the home could enhance screening of neurodevelopmental disorders for infants and families in rural and remote areas, a population with reduced health services. © 2019 IEEE.

History

Start Page

7134

End Page

7139

Number of Pages

6

Start Date

23/07/2019

Finish Date

27/07/2019

eISSN

1558-4615

ISSN

1557-170X

ISBN-13

9781538613115

Location

Berlin, Germany

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

The University of Queensland; CSIRO

Era Eligible

Yes

Name of Conference

41st IEEE Engineering in Medicine and Biology Society Annual Conference (EMBC 2019)