DocumentCode :
1413303
Title :
Development and evaluation of the piecewise Prony method for evoked potential analysis
Author :
Garoosi, Violet ; Jansen, Ben H.
Author_Institution :
Innovative Concepts Inc., McLean, VA, USA
Volume :
47
Issue :
12
fYear :
2000
Firstpage :
1549
Lastpage :
1554
Abstract :
A new method is presented to decompose nonstationary signals into a summation of oscillatory components with time varying frequency, amplitude, and phase characteristics. This method, referred to as piecewise Prony method (PPM), is an improvement over the classical Prony method, which can only deal with signals containing components with fixed frequency, amplitude and phase, and monotonically increasing or decreasing rate of change. PPM allows the study of the temporal profile of post-stimulus signal changes in single-trial evoked potentials (EPs), which can lead to new insights in EP generation. The authors have evaluated this method on simulated data to test its limitations and capabilities, and also on single-trial EPs. The simulation experiments showed that the PPM can detect amplitude changes as small as 10%, rate changes as small as 10% and 0.15 Hz of frequency changes. The capabilities of the PPM were demonstrated using single electroencephalogram/EP trials of flash visual EPs recorded from one normal subject. The trial-by-trial results confirmed that the stimulation drastically attenuates the alpha activity shortly after stimulus presentation, with the alpha activity returning about 0.5 s later. The PPM results also provided evidence that delta activity undergoes phase alignment following stimulus presentation.
Keywords :
electroencephalography; medical signal processing; visual evoked potentials; 0.15 Hz; 0.5 s; alpha activity attenuation; amplitude changes detection; delta activity; electrodiagnostics; evoked potential analysis; flash visual EPs; nonstationary signals decomposition; normal subject; oscillatory components summation; phase alignment; piecewise Prony method; post-stimulus signal changes; simulation experiments; single-trial evoked potentials; stimulus presentation; temporal profile; Brain modeling; Cepstral analysis; Cepstrum; Demodulation; Electroencephalography; Frequency; Principal component analysis; Signal analysis; Wavelet analysis; Wavelet transforms; Algorithms; Bias (Epidemiology); Electroencephalography; Evoked Potentials; Humans; Models, Statistical; Numerical Analysis, Computer-Assisted; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Time Factors;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.887935
Filename :
887935
Link To Document :
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