On compressing method of EEG data for their digital database
- 1 January 1992
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 4, 581-584 vol.4
- https://doi.org/10.1109/icassp.1992.226381
Abstract
The authors propose a compression method for storing the electroencephalogram (EEG) waveforms into digital storage under the condition of keeping the quality sufficient for diagnosis. The method is designed on the basis of features of the EEG waveforms. The data volume is reduced by storing the coefficients of the functions approximating the EEG waveforms. The waveforms are divided into segments, in each of which the difference velocity is similar, and are decomposed into two wave components for efficient compression. The effectiveness of the method has been evaluated by applying it to several EEG waveforms. The quality of the reconstructed waveforms is bandwidth of 0.5 approximately 120 Hz, dynamic range of 60 dB, and maximum error of 2 mu V/sub p-p/. The compression ratio is 0.648 on the average.Keywords
This publication has 4 references indexed in Scilit:
- Data reduction of multichannel fields: Global field power and Principal Component AnalysisBrain Topography, 1989
- Periodic spline orthonormal basesJournal of Approximation Theory, 1988
- Algorithm by hybrid splinesInternational Journal of Systems Science, 1988
- Reduced spline representations for EEG signalsProceedings of the IEEE, 1977