A hierarchical structure for human behavior classification using STN local field potentials.

Journal: Journal of neuroscience methods
PMID: 29017898

Abstract

BACKGROUND: Classification of human behavior from brain signals has potential application in developing closed-loop deep brain stimulation (DBS) systems. This paper presents a human behavior classification using local field potential (LFP) signals recorded from subthalamic nuclei (STN).

Authors

  • Hosein M Golshan
    ECE Dept., University of Denver, Denver, CO, USA. Electronic address: hosein.golshanmojdehi@du.edu.
  • Adam O Hebb
    ECE Dept., University of Denver, Denver, CO, USA; Colorado Neurological Institute (CNI), Denver, CO, USA. Electronic address: adam.hebb@aoh.md.
  • Sara J Hanrahan
    Colorado Neurological Institute (CNI), Denver, CO, USA. Electronic address: shanrahan@thecni.org.
  • Joshua Nedrud
    Colorado Neurological Institute (CNI), Denver, CO, USA. Electronic address: jnedrud@thecni.org.
  • Mohammad H Mahoor
    Department Of Computer Engineering, University of Denver, 2155 E Wesley Ave, Denver, Colorado, 80210, United States of America.

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