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Sleep spindles analysis using sparse bump modeling

Ghanbari, Z ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/MECBME.2011.5752059
  3. Abstract:
  4. Sleep Spindle is the hallmark of the second stage of sleep in EEG signal. It had been analyzed using different methods, including Fourier transform, parametric and non-parametric models, higher order statistics and spectra, and also time-frequency methods such as wavelet transform, and matching pursuit. In this study, bump modeling has been used to analyze sleep spindle. Bump modeling is a method which represents the time-frequency map of signals with a number of elementary functions. Results of this work demonstrate that bump modeling is capable of analyzing different sleep spindle patterns in sleep EEG signals successfully
  5. Keywords:
  6. Analysis ; EEG signals ; Elementary function ; Higher order statistics ; Matching pursuit ; Non-parametric model ; Sleep EEG ; Sleep spindle ; Sleep spindles ; Sparse bump modeling ; Time-frequency map ; Time-frequency methods ; Biomedical engineering ; Fourier transforms ; Models ; Wavelet transforms ; Sleep research
  7. Source: 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011, Sharjah, 21 February 2011 through 24 February 2011 ; 2011 , Pages 37-40 ; 9781424470006 (ISBN)
  8. URL: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5752059&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F5746576%2F5751960%2F05752059.pdf%3Farnumber%3D5752059