Machine learning helps tailor deep brain stimulation to improve gait in Parkinson's disease

Machine learning helps tailor deep brain stimulation to improve gait in Parkinson's disease

A team of researchers at the University of California, San Francisco has developed a data-driven method for optimizing deep brain stimulation (DBS) settings that significantly improved walking performance in people with Parkinson’s disease. Published in the journal npj Parkinson’s Disease, the study used wearable sensors and implanted neural recording devices to analyze how different DBS settings affected walking, then applied machine learning t…