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Removing the “background” from brain signals to precisely capture the “rhythm”
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Fusion42 · 4 November 2026 · Fusion42 review
DGIST and partner institutions have developed NONOS, a deep-learning AI that isolates rhythmic brain signals from background noise with high temporal resolution, significantly improving the analysis of beta waves associated with Parkinson’s disease symptoms and treatment.
This Wire brief sits within Fusion42's coverage of Health.
◆ ◆ The Wire takeaway
You can now use AI to separate brain wave patterns from noise with much finer timing, opening the door for real-time personalised brain stimulation therapies in Parkinson’s. This advance pushes the boundary for your brain signal tech to improve patient outcomes through more precise diagnostics and treatments.
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1 source · 4 Nov 2026
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