Multiple classifier systems for automatic sleep scoring in mice.

Journal: Journal of neuroscience methods
Published Date: Feb 27, 2016

Abstract

BACKGROUND: Electroencephalogram (EEG) and electromyogram (EMG) recordings are often used in rodents to study sleep architecture and sleep-associated neural activity. These recordings must be scored to designate what sleep/wake state the animal is in at each time point. Manual sleep-scoring is very time-consuming, so machine-learning classifier algorithms have been used to automate scoring.

Authors

  • Vance Gao
    Center for Sleep and Circadian Biology, Northwestern University, Department of Neurobiology, 2205 Tech Drive Hogan 2-160, Evanston, IL 60208, United States. Electronic address: v-gao@u.northwestern.edu.
  • Fred Turek
    Center for Sleep and Circadian Biology, Northwestern University, Department of Neurobiology, 2205 Tech Drive Hogan 2-160, Evanston, IL 60208, United States.
  • Martha Vitaterna
    Center for Sleep and Circadian Biology, Northwestern University, Department of Neurobiology, 2205 Tech Drive Hogan 2-160, Evanston, IL 60208, United States.

Keywords

External Resources

Popular Topics
Recent Journals