News Bureau

Research News Campus News About

blog navigation

News Bureau - Research

blog posts

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

    Two researchers stand in suits while a shadowed research subject performs a motor task while wearing a sensor on their hand.

    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


blog posts

  • Editor’s note:   

    To reach Manuel Enrique Hernandez, email

    The paper, “A deep learning approach for automatic and objective grading of the motor impairment severity in Parkinson’s disease for use in tele-assessments,” is available onlineDOI: 10.3390/s23219004

    This research had no external funding.