Abstract
Electroencephalographic (EEG) recordings are an important diagnostic resource in determining the presence or absence of clinical seizures in neonates. These nonstationary signals require some form of nonstationary analysis to detect seizures in the EEG data. A time-frequency (TF) matched filter has been previously proposed to detect seizures in both adult and newborn EEG. A method which constructs a reference or template set from a feature of EEG seizures, rather than the whole EEG seizure, displayed the most promising results. However this method suffered from an inability to adequately represent patient variability in the template set while simultaneously maintaining a low false detection rate. A new method of the TF matched filter is proposed that halves the template set required by approximating the templates with a more general ambiguity domain function representation. This proposed method is also less sensitive to false detections when a larger reference set is used, as evidenced by the findings on both simulated and real neonatal EEG.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005 |
| Pages | 215-218 |
| Number of pages | 4 |
| Volume | 1 |
| DOIs | |
| Publication status | Published - 2005 |
| Event | 8th International Symposium on Signal Processing and its Applications, ISSPA 2005 - Sydney, Australia Duration: Aug 28 2005 → Aug 31 2005 |
Other
| Other | 8th International Symposium on Signal Processing and its Applications, ISSPA 2005 |
|---|---|
| Country | Australia |
| City | Sydney |
| Period | 8/28/05 → 8/31/05 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Neonatal EEG seizure detection using a time-frequency matched filter with a reduced template set. / O'Toole, John; Mesbah, Mostefa; Boashash, Boualem.
Proceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005. Vol. 1 2005. p. 215-218 1580234.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Neonatal EEG seizure detection using a time-frequency matched filter with a reduced template set
AU - O'Toole, John
AU - Mesbah, Mostefa
AU - Boashash, Boualem
PY - 2005
Y1 - 2005
N2 - Electroencephalographic (EEG) recordings are an important diagnostic resource in determining the presence or absence of clinical seizures in neonates. These nonstationary signals require some form of nonstationary analysis to detect seizures in the EEG data. A time-frequency (TF) matched filter has been previously proposed to detect seizures in both adult and newborn EEG. A method which constructs a reference or template set from a feature of EEG seizures, rather than the whole EEG seizure, displayed the most promising results. However this method suffered from an inability to adequately represent patient variability in the template set while simultaneously maintaining a low false detection rate. A new method of the TF matched filter is proposed that halves the template set required by approximating the templates with a more general ambiguity domain function representation. This proposed method is also less sensitive to false detections when a larger reference set is used, as evidenced by the findings on both simulated and real neonatal EEG.
AB - Electroencephalographic (EEG) recordings are an important diagnostic resource in determining the presence or absence of clinical seizures in neonates. These nonstationary signals require some form of nonstationary analysis to detect seizures in the EEG data. A time-frequency (TF) matched filter has been previously proposed to detect seizures in both adult and newborn EEG. A method which constructs a reference or template set from a feature of EEG seizures, rather than the whole EEG seizure, displayed the most promising results. However this method suffered from an inability to adequately represent patient variability in the template set while simultaneously maintaining a low false detection rate. A new method of the TF matched filter is proposed that halves the template set required by approximating the templates with a more general ambiguity domain function representation. This proposed method is also less sensitive to false detections when a larger reference set is used, as evidenced by the findings on both simulated and real neonatal EEG.
UR - http://www.scopus.com/inward/record.url?scp=33847166189&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33847166189&partnerID=8YFLogxK
U2 - 10.1109/ISSPA.2005.1580234
DO - 10.1109/ISSPA.2005.1580234
M3 - Conference contribution
SN - 0780392434
SN - 9780780392434
VL - 1
SP - 215
EP - 218
BT - Proceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005
ER -