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

dc.contributor.authorPyon, Okminen
dc.contributor.committeechairWicks, Alfred L.en
dc.contributor.committeememberMuelenaer, Andre A.en
dc.contributor.committeememberBird, John P.en
dc.contributor.departmentMechanical Engineeringen
dc.date.accessioned2016-02-04T09:00:19Zen
dc.date.available2016-02-04T09:00:19Zen
dc.date.issued2016-02-03en
dc.description.abstractThe 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.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:7138en
dc.identifier.urihttp://hdl.handle.net/10919/64776en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectAccelerometeren
dc.subjectfidgety movementen
dc.subjectbilateral coordinated movementen
dc.subjectcerebral palsy diagnostic symptomsen
dc.subjectcoherenceen
dc.subjectshort time Fourier transformen
dc.subjectweighted average of window functionen
dc.titleThe data processing to detect correlated movement of Cerebral Palsy patient in early phaseen
dc.typeThesisen
thesis.degree.disciplineMechanical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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