Abstract
Atomic decomposition has been a popular tool for extracting information about localised signal structures. This is a direct consequence of incorporating redundant time-frequency and time-scale dictionaries for signal decomposition. In this paper, we propose a measure of signal complexity related to a given decomposition dictionary and based on the number of atoms needed to represent the signal. This measure is directly extracted from the atomic decomposition and one of the potential applications is the detection of changes in signal structure. For example, automatic newborn EEG seizure detection can be achieved by detecting the change in signal structure as the EEG changes from the background state to the seizure state. This complexity measure is evaluated using two atomic decomposition methods; namely Basis Pursuit (BP) and Matching Pursuit (MP).
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IASTED International Conference on Biomedical Engineering |
| Editors | B. Tilg |
| Pages | 285-288 |
| Number of pages | 4 |
| Publication status | Published - 2004 |
| Event | Proceedings of the IASTED International Conference on Biomedical Engineering - Innsbruck, Austria Duration: Feb 16 2004 → Feb 18 2004 |
Other
| Other | Proceedings of the IASTED International Conference on Biomedical Engineering |
|---|---|
| Country | Austria |
| City | Innsbruck |
| Period | 2/16/04 → 2/18/04 |
Fingerprint
Keywords
- Electroencephalogram
- Structural Complexity
ASJC Scopus subject areas
- Engineering(all)
Cite this
Atomic decomposition for detecting signal structure changes : Application to EEG. / Rankine, L.; Mesbah, M.; Boashash, B.
Proceedings of the IASTED International Conference on Biomedical Engineering. ed. / B. Tilg. 2004. p. 285-288 417-071.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Atomic decomposition for detecting signal structure changes
T2 - Application to EEG
AU - Rankine, L.
AU - Mesbah, M.
AU - Boashash, B.
PY - 2004
Y1 - 2004
N2 - Atomic decomposition has been a popular tool for extracting information about localised signal structures. This is a direct consequence of incorporating redundant time-frequency and time-scale dictionaries for signal decomposition. In this paper, we propose a measure of signal complexity related to a given decomposition dictionary and based on the number of atoms needed to represent the signal. This measure is directly extracted from the atomic decomposition and one of the potential applications is the detection of changes in signal structure. For example, automatic newborn EEG seizure detection can be achieved by detecting the change in signal structure as the EEG changes from the background state to the seizure state. This complexity measure is evaluated using two atomic decomposition methods; namely Basis Pursuit (BP) and Matching Pursuit (MP).
AB - Atomic decomposition has been a popular tool for extracting information about localised signal structures. This is a direct consequence of incorporating redundant time-frequency and time-scale dictionaries for signal decomposition. In this paper, we propose a measure of signal complexity related to a given decomposition dictionary and based on the number of atoms needed to represent the signal. This measure is directly extracted from the atomic decomposition and one of the potential applications is the detection of changes in signal structure. For example, automatic newborn EEG seizure detection can be achieved by detecting the change in signal structure as the EEG changes from the background state to the seizure state. This complexity measure is evaluated using two atomic decomposition methods; namely Basis Pursuit (BP) and Matching Pursuit (MP).
KW - Electroencephalogram
KW - Structural Complexity
UR - http://www.scopus.com/inward/record.url?scp=11144333638&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=11144333638&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:11144333638
SN - 0889863792
SN - 9780889863798
SP - 285
EP - 288
BT - Proceedings of the IASTED International Conference on Biomedical Engineering
A2 - Tilg, B.
ER -