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dc.contributor.authorRedd, CB
dc.contributor.authorBarber, LA
dc.contributor.authorBoyd, RN
dc.contributor.authorVarnfield, M
dc.contributor.authorKarunanithi, MK
dc.date.accessioned2020-04-16T01:08:28Z
dc.date.available2020-04-16T01:08:28Z
dc.date.issued2019
dc.identifier.isbn9781538613115
dc.identifier.issn1557-170X
dc.identifier.doi10.1109/EMBC.2019.8857377
dc.identifier.urihttp://hdl.handle.net/10072/393107
dc.description.abstractQualitative 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.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofconferencename41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019)
dc.relation.ispartofconferencetitleProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
dc.relation.ispartofdatefrom2019-07-23
dc.relation.ispartofdateto2019-07-27
dc.relation.ispartoflocationBerlin, Germany
dc.relation.ispartofpagefrom7134
dc.relation.ispartofpageto7139
dc.relation.ispartofvolume2019
dc.subject.fieldofresearchHuman Movement and Sports Sciences
dc.subject.fieldofresearchComplementary and Alternative Medicine
dc.subject.fieldofresearchPaediatrics
dc.subject.fieldofresearchBiomedical Engineering
dc.subject.fieldofresearchcode1106
dc.subject.fieldofresearchcode1104
dc.subject.fieldofresearchcode111403
dc.subject.fieldofresearchcode0903
dc.titleDevelopment of a Wearable Sensor Network for Quantification of Infant General Movements for the Diagnosis of Cerebral Palsy
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationRedd, CB; Barber, LA; Boyd, RN; Varnfield, M; Karunanithi, MK, Development of a Wearable Sensor Network for Quantification of Infant General Movements for the Diagnosis of Cerebral Palsy, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, 2019, pp. 7134-7139
dc.date.updated2020-04-16T01:07:31Z
gro.hasfulltextNo Full Text
gro.griffith.authorBarber, Lee A.


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