mittrayash/Parkinson-s-Disease-Detection-using-Gait-Analysis
A research project that aims to detect Parkinson's disease in patients using Gait Analysis data. Subsequently, the project may make use of Gait Data Analysis to make powerful inferences which would help in genralizing the most common groups affected by this disease.
This project helps medical professionals analyze a patient's walking patterns to identify early signs of Parkinson's Disease. It takes detailed gait analysis data, specifically vertical ground reaction forces from sensors on each foot, and processes it to predict whether the patient has Parkinson's. This is useful for neurologists, general practitioners, or clinical researchers involved in diagnosing or studying Parkinson's.
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Use this if you have gait analysis data for patients and need an automated system to help screen for Parkinson's Disease.
Not ideal if you are looking for a tool that directly collects raw gait data or provides a real-time diagnostic interface for patients.
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Feb 15, 2018
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