A nonparametric method for the segmentation of the EEG

Brodsky, Boris; Darkhovsky, B. S.; Kaplan, Arline; Shishkin, Sergei L.

doi:10.1016/s0169-2607(98)00079-0

Cited by 48 publications

(50 citation statements)

References 12 publications

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“…Later this general framework was used mostly as an "umbrella" notion in a series of experimental studies [257,289,290,[434][435][436][437][438][439][440][441][442][443][444][445][446][447][448][449][450] leading to the accumulation of an enormous amount of empirical neurophysiological data which have permitted to extensively develop, broaden, and modify the whole conception and establish OA as a theoretical framework in its present form compromise between simplicity, neurophysiological accuracy, and cognitive and phenomenal plausibility.…”

Section: Integration Of Space-time Of Brain and Mind Through Unified mentioning

confidence: 99%

“…In this case, it is possible to consider each EEG segment as a single event in EEGphenomenology. Within the duration of one such segment, the neuronal assembly that generates the amplitude modulation is in the steady quasi-stationary state [448], that corresponds to a particular operation 70 [25,222,451]. Each quasi-stationary EEG segment is separated from those preceding and following it by an abrupt transition during which the EEG amplitude changes significantly (Fig.…”

Section: Mechanismmentioning

confidence: 99%

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Natural world physical, brain operational, and mind phenomenal space–time

Fingelkurts

Neves

2010

Physics of Life Reviews

165

233

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Concepts of space and time are widely developed in physics. However, there is a considerable lack of biologically plausible theoretical frameworks that can demonstrate how space and time dimensions are implemented in the activity of the most complex life-system -the brain with a mind. Brain activity is organized both temporally and spatially, thus representing space-time in the brain. Critical analysis of recent research on the space-time organization of the brain's activity pointed to the existence of so-called operational space-time in the brain. This space-time is limited to the execution of brain operations of differing complexity. During each such brain operation a particular short-term spatio-temporal pattern of integrated activity of different brain areas emerges within related operational space-time. At the same time, to have a fully functional human brain one needs to have a subjective mental experience. Current research on the subjective mental experience offers detailed analysis of space-time organization of the mind. According to this research, subjective mental experience (subjective virtual world) has definitive spatial and temporal properties similar to many physical phenomena. Based on systematic review of the propositions and tenets of brain and mind space-time descriptions, our aim in this review essay is to explore the relations between the two. To be precise, we would like to discuss the hypothesis that via the brain operational space-time the mind subjective space-time is connected to otherwise distant physical space-time reality.Key words: spatial, temporal, consciousness, cognition, operation, architectonics, EEG, field, metastability, physics, coordinative dynamics, self-organization, cortex.

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Section: Integration Of Space-time Of Brain and Mind Through Unified mentioning

confidence: 99%

Section: Mechanismmentioning

confidence: 99%

Natural world physical, brain operational, and mind phenomenal space–time

Fingelkurts

Neves

2010

Physics of Life Reviews

165

233

View full text Add to dashboard Cite

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“…[21], where it was proven that reproducible metastable states correspond to neural response to stimuli (e.g. odors) and can be associated to segmentation in electroencephalogram (EEG), namely the fact that EEG signals frequently looks like juxtapositions of epochs with fixed frequency and amplitude, with abrupt changes, called rapid transition processes (RTP), from epoch to epoch [22].…”

Section: Introductionmentioning

confidence: 99%

Noisy cooperative intermittent processes: From blinking quantum dots to human consciousness

Allegrini

Paradisi

Menicucci

et al. 2011

J. Phys.: Conf. Ser.

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“…However, in most applications the dimension of the signal subspace is not known and it must estimated which is a very difficult problem itself. In [43] the signal to be segmented is first transformed into another sequence which is constructed so that the statistical changes in the original signal result in the changes of the mean value of the transformed signal.…”

Section: Problem Formulationmentioning

confidence: 99%

Localization of packet based radio transmitters in space, time, and frequency

Ivkovic

Spasojević

Seskar

2008

2008 42nd Asilomar Conference on Signals, Systems and Computers

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We consider the scenario where one or more sensors observe a frequency band potentially used by multiple radio transmitters forming packet based networks. Our goal is to develop algorithms for estimation of spectrum usage in space, time, and frequency. This estimation is obtained by performing some form of analysis of the received signals at the sensors. The proposed algorithms can be used for achieving efficient spectrum utilization by identifying unused portions of spectrum in space, time and frequency as well as for other applications requiring spectrum monitoring.The received signals consist of packets from multiple transmitters with possible timefrequency collisions. Each received signal consists of multiple statistically homogeneous segments where each combination of active transmitted signals creates one or more of such segments. In order to perform any form of statistical analysis using conventional methods for stationary or cyclostationary signals these segments must be first localized in time. In the first part of the thesis we propose a nonparametric algorithm for solving this problem. Initial segmentation is computed using a variant of mean shift algorithm, which is a clustering tool based on nonparametric estimate of the underlying probability distribution. We show that this type of mean shift algorithm is based on the modified Newton's method and provide a convergence analysis which explains how and why ii the algorithm works. Final segmentation results are obtained after applying a cluster validation procedure and impulse noise filtering on the initial segmentation results.In the second part of the thesis we propose a method for analysis of the segments localized in the first step. This method is useful if transmitted signals are linearly modulated or can be approximated as sums of linearly modulated signals. For each set of segments generated by the same combination of the transmitted signals we compute a certain two dimensional slice of the fourth order spectrum. These slices are arranged in a three way array. We show that under certain conditions it is possible to recover contributions of individual signals to the observed three way array by decomposing the array into low rank terms. Thus, for each received signal we can estimate its spectrum and the associated activity sequence in time. We discuss the uniqueness conditions, treat the nontrivial problem of fourth order spectrum estimation and propose a numerical algorithm for estimation of the spectra and the associated activity sequences of individual signals from the observed three way array.The algorithms for segmentation and fourth order spectrum based analysis require only one sensor. In the third part of the thesis we assume that multiple sensors are available. Using the algorithms mentioned above for each transmitter we can estimate its received spectrum at different sensors. From the received spectra of the same transmitted signal at different sensors it is possible to estimate the source signal spectrum and transfer functions of the ch...

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A nonparametric method for the segmentation of the EEG

Cited by 48 publications

References 12 publications

Natural world physical, brain operational, and mind phenomenal space–time

Natural world physical, brain operational, and mind phenomenal space–time

Noisy cooperative intermittent processes: From blinking quantum dots to human consciousness

Localization of packet based radio transmitters in space, time, and frequency

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