Elements of EEG signal processing
- 1 June 1987
- journal article
- conference paper
- Published by Springer Nature in Journal of Clinical Monitoring and Computing
- Vol. 4 (2), 85-98
- https://doi.org/10.1007/bf02915851
Abstract
It is difficult to find well controlled clinical studies comparing the utility of the numerous EEG measures which have been described. A brief summary of the literature reveals a number of promising case reports, a few large series of patients, and fewer well-designed, well-controlled studies. The very abundance of algorithms makes even technical comparisons of the ability of each to transduce and reflect clinical changes useful (27, 29). Most studies are positive; but thus far (as with so many procedures in medicine), there is no definitive study demonstrating an unequivocal benefit to patients who are monitored with automated, online EEG analysis. That such a study may never be done should not detract from the possible benefits these techniques may bring to clinical practice, most particularly preparing the way for effective brain monitoring in situations in which it was impractical before.This publication has 19 references indexed in Scilit:
- The Use of Computer-Generated Numbers in Interpreting the EEGPublished by Springer Nature ,1983
- Artificial intelligence methods in quantitative electroencephalogram analysisComputer Programs in Biomedicine, 1982
- Transformations towards the normal distribution of broad band spectral parameters of the EEGElectroencephalography and Clinical Neurophysiology, 1982
- Analysis of electrophysiological signals: A comparative study of two algorithmsComputers and Biomedical Research, 1980
- Density Modulation—A Technique for the Display of Three-variable Data in Patient MonitoringAnesthesiology, 1979
- Feature extraction from the electroencephalogram by adaptive segmentationProceedings of the IEEE, 1977
- Parametric time series models for multivariate EEG analysisComputers and Biomedical Research, 1977
- EEG analysis based on time domain propertiesElectroencephalography and Clinical Neurophysiology, 1970
- PERIOD ANALYSIS OF THE ELECTROENCEPHALOGRAM ON A GENERAL‐PURPOSE DIGITAL COMPUTER*Annals of the New York Academy of Sciences, 1964
- Automatic analysis of the electroencephalogram: a review and classification of systemsElectroencephalography and Clinical Neurophysiology, 1959