Abstract
There are a number of approaches for analysing EEG signals in the time, frequency, and time-frequency domains. However due to the nonstationarity of the EEG signals, the time-frequency methods proved to be superior. This paper presents a new method for the detection of newborn EEG seizure activity in the time-frequency domain. The proposed approach utilises 30-second epochs of EEG signal and analyses one frequency slice of their time-frequency representations at about 75 Hz. Spiking activity in these high frequency slices are used to distinguish between seizure and nonseizure activities. Using histograms of intervals between successive spikes, we were able to show the dramatic difference between spikes originating from seizure and those from nonseizure. This finding led to this novel method of seizure detection in newborn babies.
| Original language | English |
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| Title of host publication | 6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Proceedings; 6 Tutorials in Communications, Image Processing and Signal Analysis |
| Publisher | IEEE Computer Society |
| Pages | 246-249 |
| Number of pages | 4 |
| Volume | 1 |
| ISBN (Print) | 0780367030, 9780780367036 |
| DOIs | |
| Publication status | Published - 2001 |
| Event | 6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Kuala Lumpur, Malaysia Duration: Aug 13 2001 → Aug 16 2001 |
Other
| Other | 6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 |
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| Country | Malaysia |
| City | Kuala Lumpur |
| Period | 8/13/01 → 8/16/01 |
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ASJC Scopus subject areas
- Computer Science Applications
- Signal Processing