AI uncovers rapid changes in Parkinson's brain signals by separating rhythms from background activity

A team led by DGIST professor Ji-Woong Choi, working with researchers from Kumoh National Institute of Technology, Korea University and the Korea Brain Research Institute, developed NONOS, a deep learning-based analysis technology that precisely separates rhythms from underlying background signals in brain signals with high temporal resolution. The team reports this revealed rapid changes in Parkinson's brain signals; the findings are published in NeuroImage.

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