Title :
Pattern Recognition Approaches for Identifying Subcortical Targets during Deep Brain Stimulation Surgery
Author :
Chaovalitwongse, W. Art ; Jeong, Young-Seon ; Jeong, Myong-Kee ; Danish, Shabbar F. ; Wong, Stephen
Abstract :
This paper presents the approach for identifying subcortical targets during deep brain stimulation surgery.Pattern recognition approaches can help localize neural targets for therapeutic neurostimulation, such as deep brain stimulation of the subthalamic nucleus in Parkinson´s disease. A variety of neurophysiological signals are routinely collected from patients with brain diseases in the hope that such signals contain meaningful patterns that reflect underlying pathological brain functions. However, little is understood about the underlying mechanisms of brain diseases because those data are often massive and noisy. Data processing tools might help extract meaningful, yet hidden, information from massive neuro physiological data for both clinical and scientific uses.
Keywords :
bioelectric potentials; brain; diseases; medical signal processing; neurophysiology; pattern recognition; surgery; Parkinson disease; brain diseases; data processing tools; deep brain stimulation surgery; neurophysiological signals; pathological brain functions; pattern recognition; subcortical target identification; subthalamic nucleus; therapeutic neurostimulation; Bioinformatics; Feature extraction; Informatics; Intelligent systems; Pattern recognition; Satellite broadcasting; Surgery; Time frequency analysis; Time series analysis; Intelligent systems; Parkinson´s disease; classification; deep brain surgery; pattern recognition; supervised learning;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2011.56