Name
Title | ||
|---|---|---|
A novel phase congruency based algorithm for online data reduction in ambulatory EEG systems. |
Abstract | ||
|---|---|---|
Real signals are often corrupted by noise with a power spectrum variable over time. In applications involving these signals, it is expected that dynamically estimating and correcting for this noise would increase the amount of useful information extracted from the signal. One such application is scalp EEG monitoring in epilepsy, where electrical activity generated by cranio-facial muscles obscure the measured brainwaves. This paper presents a data-selection algorithm based on phase congruency to identify interictal spikes from background EEG; together with a novel statistical method that allows a more comprehensive trade-off based quantitative comparison of two algorithms which have been tested at a fixed threshold in the same database. Here, traditional phase congruency has been modified to incorporate a dynamic estimate of muscle activity present in the input scalp EEG signal. The proposed algorithm achieves 50% data reduction whilst detecting more than 80% of interictal spikes. This represents a significant improvement over the state-of-the-art denoising method for phase congruency. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TBME.2011.2160639 | IEEE Trans. Biomed. Engineering |
Keywords | Field | DocType |
database,signal denoising,interictal spikes,medical disorders,data-selection algorithm,brainwaves,cranio-facial muscles,neurophysiology,online data reduction,statistical analysis,epilepsy,electroencephalography,ambulatory eeg systems,data analysis,medical signal processing,spike detection,electrical activity,phase congruency based algorithm,denoising method,muscle activity,eeg,muscle,statistical method,input scalp eeg signal,phase congruency,sensitivity,power spectrum,noise,data reduction,noise reduction | Noise reduction,Computer science,Spectral density,Artificial intelligence,Ambulatory EEG,Electroencephalography,Computer vision,Neurophysiology,Algorithm,Speech recognition,Phase congruency,Ictal,Data reduction | Journal |
Volume | Issue | ISSN |
58 | 10 | 1558-2531 |
Citations | PageRank | References |
2 | 0.43 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lojini Logesparan | 1 | 39 | 4.96 |
| E Rodriguez-Villegas | 2 | 103 | 19.22 |