Magnetoencephalogram (MEG) signals recorded from an epileptic subject are processed. The methods of autoregressive (AR) modelling and of modified periodogram are compared on the basis of spectral estimation. It is shown that AR modelling is superior as far as spectral resolution and statistical stability are concerned. The, at least, 10 to 1 data compression achieved by AR modelling, along with the above mentioned advantage, render it suitable for clinical application.
I. METHODSA.DATA The signals which are processed in this work are measurements taken from the left(norma1) and the right(epi1eptic) side of the head of a patient who has undergone an operation for epileptic focus. For both sides of the scalp, 64 consecutive MEG measurements were taken for each of 63 measuring points lying on a 15 mm grid. The origin of the grid is coincident with the T3(left side) or the T4(right side) point of the 10-20 system of electrode placement. The record length is 1024 ms and the sampling frequency is 250 Hz resulting in 256 sample points per record.
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