Skip to main content

DiBa: a data-driven Bayesian algorithm for sleep spindle detection.

Publication ,  Journal Article
Babadi, B; McKinney, SM; Tarokh, V; Ellenbogen, JM
Published in: IEEE transactions on bio-medical engineering
February 2012

Although the spontaneous brain rhythms of sleep have commanded much recent interest, their detection and analysis remains suboptimal. In this paper, we develop a data-driven Bayesian algorithm for sleep spindle detection on the electroencephalography (EEG). The algorithm exploits the Karhunen-Loève transform and Bayesian hypothesis testing to produce the instantaneous probability of a spindle's presence with maximal resolution. In addition to possessing flexibility, transparency, and scalability, this algorithm could perform at levels superior to standard methods for EEG event detection.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

IEEE transactions on bio-medical engineering

DOI

EISSN

1558-2531

ISSN

0018-9294

Publication Date

February 2012

Volume

59

Issue

2

Start / End Page

483 / 493

Related Subject Headings

  • Sleep Stages
  • Signal Processing, Computer-Assisted
  • Middle Aged
  • Male
  • Humans
  • Female
  • Electroencephalography
  • Brain
  • Biomedical Engineering
  • Bayes Theorem
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Babadi, B., McKinney, S. M., Tarokh, V., & Ellenbogen, J. M. (2012). DiBa: a data-driven Bayesian algorithm for sleep spindle detection. IEEE Transactions on Bio-Medical Engineering, 59(2), 483–493. https://doi.org/10.1109/tbme.2011.2175225
Babadi, Behtash, Scott M. McKinney, Vahid Tarokh, and Jeffrey M. Ellenbogen. “DiBa: a data-driven Bayesian algorithm for sleep spindle detection.IEEE Transactions on Bio-Medical Engineering 59, no. 2 (February 2012): 483–93. https://doi.org/10.1109/tbme.2011.2175225.
Babadi B, McKinney SM, Tarokh V, Ellenbogen JM. DiBa: a data-driven Bayesian algorithm for sleep spindle detection. IEEE transactions on bio-medical engineering. 2012 Feb;59(2):483–93.
Babadi, Behtash, et al. “DiBa: a data-driven Bayesian algorithm for sleep spindle detection.IEEE Transactions on Bio-Medical Engineering, vol. 59, no. 2, Feb. 2012, pp. 483–93. Epmc, doi:10.1109/tbme.2011.2175225.
Babadi B, McKinney SM, Tarokh V, Ellenbogen JM. DiBa: a data-driven Bayesian algorithm for sleep spindle detection. IEEE transactions on bio-medical engineering. 2012 Feb;59(2):483–493.

Published In

IEEE transactions on bio-medical engineering

DOI

EISSN

1558-2531

ISSN

0018-9294

Publication Date

February 2012

Volume

59

Issue

2

Start / End Page

483 / 493

Related Subject Headings

  • Sleep Stages
  • Signal Processing, Computer-Assisted
  • Middle Aged
  • Male
  • Humans
  • Female
  • Electroencephalography
  • Brain
  • Biomedical Engineering
  • Bayes Theorem