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An extension of the Kalman filter algorithm to the multi-channel case is presented and its application as a segmenting procedure in the analysis of the epileptic EEG is discussed. An analytical example of structural analysis, using the segments extracted by the proposed filter, is presented for a particular set of 4-channel EEG recordings. This analysis is(More)
A full-scale scheme of the multi-level syntactic analysis of the epileptic EEG is presented and discussed in detail. An exhaustive description of basic procedures necessary to obtain a meaningful description of any set of epileptic EEG recordings is given; these procedures include algorithms for extraction of various elementary peaks from the EEG signal,(More)
The aims and merits of the syntactical decomposition of the epileptic EEG are discussed in some detail. General assumptions in the design of segmenting algorithm--an essential part of the reduction of data program--are considered and a working example of segmenting routine is presented. This routine is designed as a finite state automaton, equivalent to a(More)
An introductory review of a comprehensive approach to the problem of automatic evaluation of the epileptic EEG in the frame of syntactic analysis is presented. The aims and merits of the syntactic approach are discussed and the viability of the method is demonstrated on a few chosen examples. Working procedures for automatic segmentation and classification(More)
A new assay of afterdischarge pattern evaluation is presented, using computerized automatic analysis where procedure of data reduction, known as syntactic analysis, was involved. Effects of phenobarbital and diazepam on afterdischarge pattern were also studied. Adopting Kalman filters technique and Markov chain midel a multi-channel analysis was performed.(More)
Statistical and deterministic properties of median filters are briefly discussed and their inherent advantages as a prospective tool in scintigraphic data processing are pointed out. The ability of median filters of suppressing impulse noise while the edge-like features of an image are preserved, is demonstrated on phantom data. The residual high-frequency(More)
A multi-level scheme of syntactic reduction of the epileptiform EEG data is briefly discussed and the possibilities it opens up in describing the dynamic behaviour of a multi-channel system are indicated. A new algorithm for the inference of a Markov network from finite sets of sample symbol strings is introduced. Formulae for the time-dependent state(More)
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