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Circular Correlation Methods for the Analysis of Oscillations in Dependent Time Series
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2007 | Conference Paper |
Cited by: Papers (2)
Phases of signals can be regarded as circular data. Time series of phases statistically depend in time. There are also dependencies between diverse circular time series. Instead of relative-phase-methods such as phase-coherence we use a circular correlation coefficient to quantify existing dependence. Based on this coefficient we built correlation matrices. After validation in simulations, we appl...Show More
Comparison of Time-Variant Coherence Algorithms in Single-Trial: A Dynamic Analysis
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference
Year: 2005 | Conference Paper |
Cited by: Papers (2)
Synchronization in the electroencephalogram, which can be quantified by time-variant coherence measures, reveals a communication between brain regions reflecting different functions (e.g. learning or memory). Aim of this work is to compare three time-variant coherence algorithms in single-trial. The first algorithm is based on the short-time Fourier transform, the second one on the adaptive discre...Show More
Threshold Adaptation for Mean Value Based Operant Conditioning
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference
Year: 2005 | Conference Paper |
Cited by: Papers (1)
Biofeedback and a variety of brain-computer-interface methods imply as very first stages the obtainment of control of selected signals e.g. the related generating psychophysiological processes. The basic mechanism in the learning phase is the operant conditioning, which represent a complex behavioral method consisting of several components. One of the most important components is the setting and a...Show More
A database for therapy evaluation in neurological disorders: application in epilepsy
Due to the high diversity of cases and the variety of treatment modalities, the information to be managed and processed in therapy evaluation is excessive in many neurological diseases. Additionally, in order to gain more insight into, not only the disorders, but also the applied therapies, more objectivity is requested in clinical practice. Therefore, in this study, a database system is designed ...Show More
Quantification of abnormal coordination of brain activity during an auditory task in epilepsy
D. Perez;G. Ivanova;M.E. Kirlangic;G. Henning;D. Muller;R. Both
Brain electrical activity acquired under cognitive paradigms is quantified using several different methods. To compare the elicited response to an auditory oddball task between normal subjects and a group of refractory epilepsy patients, event-related synchronization/ desynchronization (ERS/ERD) was analyzed in this study. Our objective is to test whether such a quantitative parameter can be a fea...Show More
Method for ocular artifact correction of cognitive electrophysiological signals
Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439)
Year: 2003 | Conference Paper |
Cited by: Papers (1)
Electrical potentials generated by movement of the eye dipoles or by slow potential shifts over the retinal pigment epithelium can cause strong contamination of the electroencephalogram or the event related potentials. An efficient method, which compromises between the signal quality after the ocular artifact correction and the computation load, is developed. The method can be applied for the arti...Show More
Fractal dimension as a feature for adaptive electroencephalogram segmentation in epilepsy
M.E. Kirlangic;D. Perez;S. Kudryavtseva;G. Griessbach;G. Henning;G. Ivanova
2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2001 | Conference Paper |
Cited by: Papers (12)
In previous studies the fractal dimension (FD) has been shown to be a useful tool to detect non-stationarities and transients in biomedical signals like electroencephalogram (EEG) and electrocardiogram (ECG). The changes in FD are shown to characterise alterations in EEG due to changes in physiological states of brain, not only in normal but also in pathological functioning like epilepsy. The impo...Show More
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