Hidden semi-Markov models in the computerized decoding of microelectrode recording data for deep brain stimulator placement.

Abstract

OBJECTIVE To describe an approach to the analysis of deep brain stimulation (DBS) of the subthalamic nucleus (STN) using a hidden semi-Markov model (HsMM) and early results of the analysis of microelectrode recordings for STN DBS. METHODS The author simulated the anatomy and electrophysiology of STN DBS and built a seven-state model to compare Hidden… (More)
DOI: 10.1016/j.wneu.2010.11.008

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