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  • Wearable sensors for Parkinson’s can improve with machine learning, data from healthy adults

    Apr 12, 2024 10:00 am by Liz Ahlberg TouchstoneInsights
    Illinois professors Richard Sowers, left, and Manuel Hernandez used machine learning techniques to improve data analysis from wearable sensors to detect symptoms and monitor the progression of Parkinson’s disease. Photo by Fred Zwicky

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    The study shows that 'the expansion of datasets with healthy older adult motion data and integration with deep learning approaches can help improve the accuracy of detecting differences in motor impairment in persons with Parkinson's...' 

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