“…elose to the solution of this problem was the study [95], where a type of the regressive EEG modelling was also used, like in the works discussed above. The method described in this paper was quite sensitive to find the time moment of the beginning of action of neurotropic drugs.…”
Section: Time Scales In Eeg Segmentationmentioning
confidence: 99%
“…The method described in this paper was quite sensitive to find the time moment of the beginning of action of neurotropic drugs. The authors emphasised the ability of their method to find only the most pronounced change if there is a number of change-points in the EEG recording, which was important for the specific application area of the method [95]. The point of the maximal statistically significant difference between two regressions indicated the joint point between the largest EEG segments.…”
Section: Time Scales In Eeg Segmentationmentioning
confidence: 99%
“…To solve the problem is especially easy when only one, dearly most prominent change-point must be found in a given interval; this is the task solved in the above discussed work of Deistier et al [95] using parametric approach. With our procedure, it is sufficient to determine only the instant of the changepoint which will be found the first on the stage of the preliminary estimation.…”
Section: Detection Of Change-points At Different Levels Of the Hierarmentioning
confidence: 99%
“…The separate detection of changes in different frequency bands and with different time scales was already used by other researchers [95,109]. In our work this was done with a more broad range of signal types, covering a substantial portion of the variety of patterns occurring in the EEG studies.…”
Section: Nonstationarity Of the Synchronization Level And Of Other Chmentioning
“…elose to the solution of this problem was the study [95], where a type of the regressive EEG modelling was also used, like in the works discussed above. The method described in this paper was quite sensitive to find the time moment of the beginning of action of neurotropic drugs.…”
Section: Time Scales In Eeg Segmentationmentioning
confidence: 99%
“…The method described in this paper was quite sensitive to find the time moment of the beginning of action of neurotropic drugs. The authors emphasised the ability of their method to find only the most pronounced change if there is a number of change-points in the EEG recording, which was important for the specific application area of the method [95]. The point of the maximal statistically significant difference between two regressions indicated the joint point between the largest EEG segments.…”
Section: Time Scales In Eeg Segmentationmentioning
confidence: 99%
“…To solve the problem is especially easy when only one, dearly most prominent change-point must be found in a given interval; this is the task solved in the above discussed work of Deistier et al [95] using parametric approach. With our procedure, it is sufficient to determine only the instant of the changepoint which will be found the first on the stage of the preliminary estimation.…”
Section: Detection Of Change-points At Different Levels Of the Hierarmentioning
confidence: 99%
“…The separate detection of changes in different frequency bands and with different time scales was already used by other researchers [95,109]. In our work this was done with a more broad range of signal types, covering a substantial portion of the variety of patterns occurring in the EEG studies.…”
Section: Nonstationarity Of the Synchronization Level And Of Other Chmentioning
“…For these cases where the majority of EEG records under consideration show either one or no structural break, Deistler et al [ 1986] recently developed a proce dure which fulfils the above requirements. This proce dure was successfully applied to data from a pharmaco logical experiment.…”
A new procedure for detecting departures from constancy of the parameters of a probabilistic model over a period of time is proposed. It basically consists of specification of a joint probability distribution for data and models and minimization of the total gain in information. In contrast to conventional techniques, this procedure can be used to determine both the number of different models and the positions of the points at which the switches from one model to another occur. It is demonstrated how this new method can be applied to the problem of identification of different stages of EEG background activity. The lengths of these stages might serve as indicators for drug effects in the EEG.
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