Michigan Tech Researchers Develop ‘Smart’ Deep Brain Stimulation Systems for Parkinson’s Patients
Researchers are applying neuromorphic computing to improve the energy-efficiency and effectiveness of deep brain stimulation (DBS) systems used to treat Parkinson’s disease.
DBS is an alternative to medications that are effective at addressing symptoms of the neurodegenerative disorder but lose efficacy as patients develop drug resistance.
Chunxiu (Traci) Yu (BioMed) and Hongyu An (ECE) are working with their research teams to develop different strategies using the tools of neuromorphic, or brain-inspired, computing. Highly energy-efficient, neuromorphic computing emulates the nervous system via microchips and algorithms and harnesses neuroscience-powered artificial intelligence.
Learn more about their work at Michigan Tech News.