The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Seizure prediction by non‐linear time series analysis of brain electrical activity
Open accessAbstract
Brain electrical activity of 16 patients with temporal lobe epilepsy, recorded intracranially during seizure‐free intervals as well as during transitions to the seizure state, was analysed using methods derived from the theory of non‐linear dynamics. Long‐lasting and marked changes towards low‐dimensional system states were found to occur specifically up to 25 min prior to epileptic seizures and allow to predict the occurrence of individual seizures in time. These findings reflect a continuous increase in the degree of synchronicity, and thus open a window for the study of mechanisms generating seizures in humans. This offers new possibilities for therapeutic interventions.
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Citations
Cites
Detecting strange attractors in turbulence
Takens, F. (1981) · Lecture Notes in Mathematics · doi:10.1007/bfb0091924 · Cited by 10,459 · cited 2×
“After phase space reconstruction using the method of delays (Takens, 1981) and calculation of the modified correlation integral (Grassberger & Procaccia, 1983; Theiler, 1986) an estimate of the correlation dimensionD* being lower or equal to a maximum resolvable dimension (Ruelle, 1990) was…”
Method
Cited by
Early-warning signals for critical transitions
Scheffer, M., Bascompte, J., Brock, W. A., Brovkin, V., Carpenter, S. R., Dakos, V., Held, H., van Nes, E. H., Rietkerk, M., & Sugihara, G. (2009) · Nature · doi:10.1038/nature08227 · Cited by 4,854
Mixed-Band Wavelet-Chaos-Neural Network Methodology for Epilepsy and Epileptic Seizure Detection
Ghosh-Dastidar, S., Adeli, H., & Dadmehr, N. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.891945 · Cited by 470
A comparison of waveform fractal dimension algorithms
Esteller, R., Vachtsevanos, G., Echauz, J., & Litt, B. (2001) · IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications · doi:10.1109/81.904882 · Cited by 470
Ghosh-Dastidar, S., Adeli, H., & Dadmehr, N. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.905490 · Cited by 466
Epileptic seizure prediction and control
Iasemidis, L. D. (2003) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2003.810705 · Cited by 363
Metadata
- Authors
- Elger, C. E., & Lehnertz, K.
- Venue
- European Journal of Neuroscience
- Publisher
- Wiley
- Published
- 1998-02
- Volume
- 10
- Issue
- 2
- Pages
- 786-789
- ISSN
- 0953-816X (ISSN-L)
- 1460-9568
- OpenAlex
- W2025059256
- Cited by
- 263
- References
- 1
- FWCI
- 7.45
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Elger, C. E., & Lehnertz, K. (1998). Seizure prediction by non‐linear time series analysis of brain electrical activity. European Journal of Neuroscience. https://doi.org/10.1046/j.1460-9568.1998.00090.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
