Medical Xpress September 23, 2024
Parkinson’s comes on slowly, and diagnosing the often-devastating movement disorder, particularly in its early stages, usually entails having patients perform a variety of mobility tasks, observing their walking and movement patterns, and testing their reflexes. In all, it’s a time-consuming and labor-intensive process for both clinicians and patients.
Researchers in the University of Maryland, College Park’s Center for Bioinformatics and Computational Biology (CBCB) have just published research that may soon make a diagnosis easier on everyone involved.
They’re working with colleagues at the University of Maryland, Baltimore and elsewhere to use machine learning algorithms to analyze data from wearable, movement-tracking sensors to help automate parts of the process. Ultimately, the researchers say, this can lead to more accurate and earlier...
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