dc.contributor.author	Pyon, Okmin	en
dc.contributor.committeechair	Wicks, Alfred L.	en
dc.contributor.committeemember	Muelenaer, Andre A.	en
dc.contributor.committeemember	Bird, John P.	en
dc.contributor.department	Mechanical Engineering	en
dc.date.accessioned	2016-02-04T09:00:19Z	en
dc.date.available	2016-02-04T09:00:19Z	en
dc.date.issued	2016-02-03	en
dc.description.abstract	The early diagnosis of CP (Cerebral Palsy) in infants is important for developing meaningful interventions. One of the major symptoms of the CP is lack of the coordinated movements of a baby. The bilateral coordinated movement (BCM) is that a baby shows in the early development stage. Each limb movement shows various ranges of speed and angle with fluency in a normal infant. When a baby has CP the movements are cramped and more synchronized. A quantitative method is needed to diagnose the BCM. Data is collected from 3-axis accelerometers, which are connected, to each limb of the baby. Signal processing the collected data using short time Fourier transforms, along with the formation of time-dependent transfer functions and the coherence property is the key to the diagnostic approach. Combinations of each limb's movement and their relationship can represent the correlated movement. Data collected from a normal baby is used to develop the technique for identifying the fidgety movement. Time histories and the resulting diagnostic tool are presented to show the regions of the described movement. The evaluation of the transduction approach and the analysis is discussed in detail. The application of the quantitative tool for the early diagnosis of CP offers clinicians the opportunity to provide interventions that may reduce the debilitating impact this condition has on children. Tools such as this can also be used to assess motor development in infants and lead to the identification and early intervention for other conditions.	en
dc.description.degree	Master of Science	en
dc.format.medium	ETD	en
dc.identifier.other	vt_gsexam:7138	en
dc.identifier.uri	http://hdl.handle.net/10919/64776	en
dc.publisher	Virginia Tech	en
dc.rights	In Copyright	en
dc.rights.uri	http://rightsstatements.org/vocab/InC/1.0/	en
dc.subject	Accelerometer	en
dc.subject	fidgety movement	en
dc.subject	bilateral coordinated movement	en
dc.subject	cerebral palsy diagnostic symptoms	en
dc.subject	coherence	en
dc.subject	short time Fourier transform	en
dc.subject	weighted average of window function	en
dc.title	The data processing to detect correlated movement of Cerebral Palsy patient in early phase	en
dc.type	Thesis	en
thesis.degree.discipline	Mechanical Engineering	en
thesis.degree.grantor	Virginia Polytechnic Institute and State University	en
thesis.degree.level	masters	en
thesis.degree.name	Master of Science	en

The data processing to detect correlated movement of Cerebral Palsy patient in early phase

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