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 ...

Metal artifacts notoriously pose significant challenge in computed tomography (CT), leading to inaccuracies in image formation and interpretation. Artifact reduction tools have been designed to ...

Adaptive filtering has had several successful practical applications and plays an important role in signal processing. The fields in which adaptive filtering has been applied are system identification ...

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 ...