Peer-reviewed veterinary case report
Changes in dynamical characteristics of epileptic EEG in rats using recurrence quantification analysis.
- Journal:
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
- Year:
- 2011
- Authors:
- Rabbi, Ahmed F et al.
- Affiliation:
- Department of Electrical Engineering · United States
- Species:
- rodent
Abstract
In this paper, we used Recurrence Quantification Analysis (RQA) in order to study pre-epileptic characteristics in rat's EEG recordings. Four adult rats were used to collect epileptic EEG data in an experiment of animal model of epilepsy. Three RQA measures, recurrence rate, determinism, and entropy were calculated from EEG recordings from rats. A moving average filter was used to identify the decreasing trend in pre-epileptic dynamics which will be useful early detection of seizures.
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Search related cases →Original publication: https://pubmed.ncbi.nlm.nih.gov/22254864/