Abstract
Several, recently proposed, newborn EEG seizure detection techniques use quadratic time-frequency distributions (QTFDs) to generate the time-frequency representations (TFRs) at their core. The specific type of QTFD that provides the best discrimination between the TFR of nonseizure and seizure epochs of EEG, however, has yet to be thoroughly investigated. This paper proposes the selection of an optimal QTFD that maximises the the absolute error between seizure and nonseizure QTFDs calculated on a database of newborn EEG. The optimisation procedure is a data driven process that selects the optimal QTFD based on the distribution of the absolute error between nonseizure/nonseizure QTFDs and the seizure/nonseizure QTFDs. Several non-adaptive QTFDs were selected for comparison and those selected were subjected to a restriction on the kernel's volume to ensure that the QTFD can accurately represent the time-frequency distribution of signal energy. The results show that a lag independent or narrowband QTFD such as the modified B distribution provides a QTFD that best highlights the difference in time-frequency signal energy between newborn EEG seizure and nonseizure.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 |
| Pages | 923-926 |
| Number of pages | 4 |
| Publication status | Published - 2008 |
| Event | 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada Duration: Aug 20 2008 → Aug 25 2008 |
Other
| Other | 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 |
|---|---|
| Country | Canada |
| City | Vancouver, BC |
| Period | 8/20/08 → 8/25/08 |
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ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing
- Biomedical Engineering
- Health Informatics
Cite this
Quadratic time-frequency distribution selection for seizure detection in the newborn. / Stevenson, N.; Mesbah, M.; Boashash, B.
Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. 2008. p. 923-926 4649305.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Quadratic time-frequency distribution selection for seizure detection in the newborn
AU - Stevenson, N.
AU - Mesbah, M.
AU - Boashash, B.
PY - 2008
Y1 - 2008
N2 - Several, recently proposed, newborn EEG seizure detection techniques use quadratic time-frequency distributions (QTFDs) to generate the time-frequency representations (TFRs) at their core. The specific type of QTFD that provides the best discrimination between the TFR of nonseizure and seizure epochs of EEG, however, has yet to be thoroughly investigated. This paper proposes the selection of an optimal QTFD that maximises the the absolute error between seizure and nonseizure QTFDs calculated on a database of newborn EEG. The optimisation procedure is a data driven process that selects the optimal QTFD based on the distribution of the absolute error between nonseizure/nonseizure QTFDs and the seizure/nonseizure QTFDs. Several non-adaptive QTFDs were selected for comparison and those selected were subjected to a restriction on the kernel's volume to ensure that the QTFD can accurately represent the time-frequency distribution of signal energy. The results show that a lag independent or narrowband QTFD such as the modified B distribution provides a QTFD that best highlights the difference in time-frequency signal energy between newborn EEG seizure and nonseizure.
AB - Several, recently proposed, newborn EEG seizure detection techniques use quadratic time-frequency distributions (QTFDs) to generate the time-frequency representations (TFRs) at their core. The specific type of QTFD that provides the best discrimination between the TFR of nonseizure and seizure epochs of EEG, however, has yet to be thoroughly investigated. This paper proposes the selection of an optimal QTFD that maximises the the absolute error between seizure and nonseizure QTFDs calculated on a database of newborn EEG. The optimisation procedure is a data driven process that selects the optimal QTFD based on the distribution of the absolute error between nonseizure/nonseizure QTFDs and the seizure/nonseizure QTFDs. Several non-adaptive QTFDs were selected for comparison and those selected were subjected to a restriction on the kernel's volume to ensure that the QTFD can accurately represent the time-frequency distribution of signal energy. The results show that a lag independent or narrowband QTFD such as the modified B distribution provides a QTFD that best highlights the difference in time-frequency signal energy between newborn EEG seizure and nonseizure.
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M3 - Conference contribution
C2 - 19162808
AN - SCOPUS:61849177957
SN - 9781424418152
SP - 923
EP - 926
BT - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
ER -