LFP-Net: A deep learning framework to recognize human behavioral activities using brain STN-LFP signals.

Journal: Journal of neuroscience methods
PMID: 32027889

Abstract

BACKGROUND: Recognition of human behavioral activities using local field potential (LFP) signals recorded from the Subthalamic Nuclei (STN) has applications in developing the next generation of deep brain stimulation (DBS) systems. DBS therapy is often used for patients with Parkinson's disease (PD) when medication cannot effectively tackle patients' motor symptoms. A DBS system capable of adaptively adjusting its parameters based on patients' activities may optimize therapy while reducing the stimulation side effects and improving the battery life.

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.
  • Mohammad H Mahoor
    Department Of Computer Engineering, University of Denver, 2155 E Wesley Ave, Denver, Colorado, 80210, United States of America.

Keywords

External Resources

Popular Topics
Recent Journals