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- Michelle McGrath
Ms Michelle McGrath
For my undergraduate degree, I studied a bachelor of Engineering (Medical) which I graduated in 2007. From 2008-2012, I was employed as a medical engineer in the Queensland Children's Gait Laboratory where I gained practical experience in 3D Motion Analysis (3DMA) concentrating on gait and upper limb movement of children with movement disorders. From 2011-present I have been assisting Dr. Robyn Grote (OHMR fellow) to scope the need for a motion analysis center that analyses gait and movement disorders across the lifespan from infants to geriatrics though research and through this established the Queensland Motion Analysis Centre (QMAC), the first Clinical Adult motion analysis laboratory in Queensland. During this time, I initiated and increased the awareness of QMAC and 3DMA within the business and health community. This process has led to QMAC gaining over $1 million for research in 3DMA.
In 2014, I started my Master of Engineering (research) degree, where I gained a 2016 and 2017 RBWH research scholarship. This project successfully developed and implemented an infant 3DMA technical protocol used to collect 3D movement data on typically developing infants at 3 weeks and 3 months of age. The use of a mathematical pattern technique (Fuzzy Entropy) was found useful in quantifying this movement data. This technical protocol has the potential to be used as a diagnostic, intervention planning and monitoring tool in the pre- term infant population at risk of developing a movement disorder.
In 2018, I will start my PhD in mathematical sciences, with another RBWH research scholarship, where I will use the infant 3DMA technical protocol to collect data on the movement patterns of Preterm infants at risk of developing movement disorders and explore the use of various mathematical pattern recognition techniques that could potentially differential between normal and abnormal infant movement.