Atomic decomposition for detecting signal structure changes

Application to EEG

L. Rankine, M. Mesbah, B. Boashash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Biomedical Engineering
EditorsB. Tilg
Pages285-288
Number of pages4
Publication statusPublished - 2004
EventProceedings of the IASTED International Conference on Biomedical Engineering - Innsbruck, Austria
Duration: Feb 16 2004Feb 18 2004

Other

OtherProceedings of the IASTED International Conference on Biomedical Engineering
CountryAustria
CityInnsbruck
Period2/16/042/18/04

Fingerprint

Electroencephalography
Decomposition
Glossaries
Atoms

Keywords

  • Electroencephalogram
  • Structural Complexity

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Rankine, L., Mesbah, M., & Boashash, B. (2004). Atomic decomposition for detecting signal structure changes: Application to EEG. In B. Tilg (Ed.), Proceedings of the IASTED International Conference on Biomedical Engineering (pp. 285-288). [417-071]

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 proceedingConference contribution

Rankine, L, Mesbah, M & Boashash, B 2004, Atomic decomposition for detecting signal structure changes: Application to EEG. in B Tilg (ed.), Proceedings of the IASTED International Conference on Biomedical Engineering., 417-071, pp. 285-288, Proceedings of the IASTED International Conference on Biomedical Engineering, Innsbruck, Austria, 2/16/04.
Rankine L, Mesbah M, Boashash B. Atomic decomposition for detecting signal structure changes: Application to EEG. In Tilg B, editor, Proceedings of the IASTED International Conference on Biomedical Engineering. 2004. p. 285-288. 417-071
Rankine, L. ; Mesbah, M. ; Boashash, B. / Atomic decomposition for detecting signal structure changes : Application to EEG. Proceedings of the IASTED International Conference on Biomedical Engineering. editor / B. Tilg. 2004. pp. 285-288
@inproceedings{fdde9bfc4c6548ef834d4c34a53540cc,
title = "Atomic decomposition for detecting signal structure changes: Application to EEG",
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).",
keywords = "Electroencephalogram, Structural Complexity",
author = "L. Rankine and M. Mesbah and B. Boashash",
year = "2004",
language = "English",
isbn = "0889863792",
pages = "285--288",
editor = "B. Tilg",
booktitle = "Proceedings of the IASTED International Conference on Biomedical Engineering",

}

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

SN - 0889863792

SN - 9780889863798

SP - 285

EP - 288

BT - Proceedings of the IASTED International Conference on Biomedical Engineering

A2 - Tilg, B.

ER -