Abstract
In recent years, much effort has been made toward developing computerized methods to detect seizures. In adults, the clinical signs of seizures are well defined and easily recognizable. This is, however, not the case for newborns where the clinical signs are either subtle or completely absent. For this reason, the electroencephalogram (EEG) has been the most dependable tool used for detecting seizures in newborns. Considering the non-stationary and multicomponent nature of the EEG signals, time-frequency (TF) based methods were found to be very suitable for the analysis of such signals. Using TF representation of EEG signals allows extracting TF signatures that are characteristic of EEG seizures. In this paper we present a TF method for newborn EEG seizure detection using a TF matched filter. The TF signatures of EEG seizures are used to construct time-frequency templates that are used by the matched filter to detect EEG seizures. The results obtained so far are very promising.
| Original language | English |
|---|---|
| Title of host publication | 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings |
| DOIs | |
| Publication status | Published - 2007 |
| Event | 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007 - Sharjah, United Arab Emirates Duration: Feb 12 2007 → Feb 15 2007 |
Other
| Other | 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007 |
|---|---|
| Country | United Arab Emirates |
| City | Sharjah |
| Period | 2/12/07 → 2/15/07 |
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ASJC Scopus subject areas
- Signal Processing
Cite this
Newborn EEG seizure detection using optimized time-frequency matched filter. / Mesbah, M.; Khlif, M.; Boashash, B.; Colditz, P.
2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings. 2007. 4555458.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Newborn EEG seizure detection using optimized time-frequency matched filter
AU - Mesbah, M.
AU - Khlif, M.
AU - Boashash, B.
AU - Colditz, P.
PY - 2007
Y1 - 2007
N2 - In recent years, much effort has been made toward developing computerized methods to detect seizures. In adults, the clinical signs of seizures are well defined and easily recognizable. This is, however, not the case for newborns where the clinical signs are either subtle or completely absent. For this reason, the electroencephalogram (EEG) has been the most dependable tool used for detecting seizures in newborns. Considering the non-stationary and multicomponent nature of the EEG signals, time-frequency (TF) based methods were found to be very suitable for the analysis of such signals. Using TF representation of EEG signals allows extracting TF signatures that are characteristic of EEG seizures. In this paper we present a TF method for newborn EEG seizure detection using a TF matched filter. The TF signatures of EEG seizures are used to construct time-frequency templates that are used by the matched filter to detect EEG seizures. The results obtained so far are very promising.
AB - In recent years, much effort has been made toward developing computerized methods to detect seizures. In adults, the clinical signs of seizures are well defined and easily recognizable. This is, however, not the case for newborns where the clinical signs are either subtle or completely absent. For this reason, the electroencephalogram (EEG) has been the most dependable tool used for detecting seizures in newborns. Considering the non-stationary and multicomponent nature of the EEG signals, time-frequency (TF) based methods were found to be very suitable for the analysis of such signals. Using TF representation of EEG signals allows extracting TF signatures that are characteristic of EEG seizures. In this paper we present a TF method for newborn EEG seizure detection using a TF matched filter. The TF signatures of EEG seizures are used to construct time-frequency templates that are used by the matched filter to detect EEG seizures. The results obtained so far are very promising.
UR - http://www.scopus.com/inward/record.url?scp=51549100506&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51549100506&partnerID=8YFLogxK
U2 - 10.1109/ISSPA.2007.4555458
DO - 10.1109/ISSPA.2007.4555458
M3 - Conference contribution
SN - 1424407796
SN - 9781424407798
BT - 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
ER -