Abstract
This paper investigates the performance of time-frequency based EEG spike detection techniques. The non-stationary nature of EEG makes time-frequency methodology a suitable tool for analysis. The high instantaneous energy of spikes are reflected as very localised energy patterns in the time-frequency domain with reduced time duration toward the high frequency area. These characteristics of spikes in the time-frequency domain makes them recognisable from the background. Two recently published spike detection methods, based on quadratic time-frequency and adaptive time-frequency parameterisation are considered in this investigation. These methods have been applied on both synthetic and real EEG signals. The obtained results show the superior performance of the quadratic time-frequency method for detecting EEG spikes in terms of resolution and robustness to noise.
Original language | English |
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Title of host publication | 13th European Signal Processing Conference, EUSIPCO 2005 |
Pages | 297-300 |
Number of pages | 4 |
Publication status | Published - 2005 |
Event | 13th European Signal Processing Conference, EUSIPCO 2005 - Antalya, Turkey Duration: Sep 4 2005 → Sep 8 2005 |
Other
Other | 13th European Signal Processing Conference, EUSIPCO 2005 |
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Country | Turkey |
City | Antalya |
Period | 9/4/05 → 9/8/05 |
ASJC Scopus subject areas
- Signal Processing