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Parkinson’s disease (PD) begins well before movement symptoms appear, and many people have a long journey to diagnosis. No objective test for Parkinson’s exists. If we are able to detect the disease at an early stage, we might be able to intervene and prescribe interventions that will slow progression of the disease and help people maintain their quality of life.
For this project, we will use videos of people with PD doing different things to develop sophisticated computer programs that can detect specific movement patterns that are only seen in people with PD. We will then see how well our computer programs can diagnose early PD, compared with medical and clinical professionals.
We believe that smart computer programs will allow us to detect early signs of PD from videos of people doing normal activities, such as drawing, walking, reaching for a cup or folding towels. We may also be able to predict the stage of disease and see how it is progressing.
Study Team Members
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Arun Jayaraman, PT, PhD, Principal Investigator
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Arun Jayaraman, PT, PhD
Executive Director, Technology & Innovation Hub (tiHUB); Director, Max N?der Center for Rehabilitation Technologies & Outcomes 嫩B研究院Funding Support
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Michael J. Fox Foundation