Comparison of the accuracy of two segmentation methods in medium rate EEG transitions
- Resource Type
- Conference
- Authors
- Hiltunen, J.K.; Kaipio, J.P.
- Source
- Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143) Engineering in medicine and biology Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE. 4:3018-3021 vol.4 2000
- Subject
- Bioengineering
Electroencephalography
Brain modeling
Frequency synchronization
Delay estimation
Steady-state
Rhythm
Physics
Neuroscience
Least squares methods
Adaptive algorithm
- Language
- ISSN
- 1094-687X
Two methods for the estimation of medium rate transitions of nonstationary EEG are compared. The first method is based on basis constrained least squares time-varying autoregressive model (TVARLS). This model is reparametrized so that a single parameter determines when the change occurs. The second method is a segmentation algorithm (Bodenstein-Praetorius segmenter). The method is based on the comparison of changes of power spectra between two short EEG epochs. The comparison of these methods is performed using realistic EEG simulations.