2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013, Vol.2013, p.417-420
2013
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Details
- Autor(en) / Beteiligte
- Titel
- Tracking non-stationary spectral peak structure in EEG data
- Ist Teil von
- 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013, Vol.2013, p.417-420
- Ort / Verlag
- United States: IEEE
- Erscheinungsjahr
- 2013
- Quelle
- IEEE Xplore
- Beschreibungen/Notizen
- We develop a particle filter algorithm to simultaneously estimate and track the instantaneous peak frequency, amplitude, and bandwidth of multiple concurrent non-stationary components of an EEG signal in the time-frequency domain. We use this method to characterize human EEG activity during anesthesia-induced unconsciousness.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1094-687X, 1557-170XeISSN: 1558-4615, 2694-0604DOI: 10.1109/EMBC.2013.6609525Titel-ID: cdi_pubmed_primary_24109712
- Format
- –
- Schlagworte
- Algorithms, Anesthesia - methods, Bandwidth, Bayes Theorem, Brain models, Computer Simulation, Electroencephalography, Electroencephalography - methods, Frequency estimation, Humans, Nerve Net, Normal Distribution, Particle filters, Signal Processing, Computer-Assisted, Time Factors, Time-frequency analysis