New algorithm could help enable next-generation deep brain stimulation devices
Brown University researchers have developed a technique that could allow deep brain stimulation devices to sense activity in the brain and adjust stimulation accordingly.
PROVIDENCE, R.I. [Brown University] — By delivering small electrical pulses directly to the brain, deep brain stimulation (DBS) can ease tremors associated with Parkinson’s disease or help relieve chronic pain. The technique works well for many patients, but researchers would like to make DBS devices that are a little smarter by adding the capability to sense activity in the brain and adapt stimulation accordingly.
Now, a new algorithm developed by Brown University bioengineers could be an important step toward such adaptive DBS. The algorithm removes a key hurdle that makes it difficult for DBS systems to sense brain signals while simultaneously delivering stimulation.