Publications [#336706] of Vahid Tarokh

Papers Published

1. Babadi, B; McKinney, SM; Tarokh, V; Ellenbogen, JM, DiBa: a data-driven Bayesian algorithm for sleep spindle detection., Ieee Transactions on Bio Medical Engineering, vol. 59 no. 2 (February, 2012), pp. 483-493 [doi]
   (last updated on 2023/06/01)

   Abstract:
   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.