Structural complexity of neural signals by matching pursuits

Shanbao Tong, Nitish V. Thakor

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

Abstract

Matching pursuits (MP) based adaptive approximation represents a signal with linear combination of a group of atom functions, which is closely related to the structural characteristics of the corresponding signal. In this study, we propose to use the average atom density (AAD) and the average atom scale (AAS) to evaluate the structural complexity of neural signals. For a simulated dynamic model, logistic map, both measurements behave similarly to the Lyapunov exponent spectrum. We apply them to the analysis of neural signal, namely EEG, from the brain with hypoxicischemic (HI) injury. The results show that AAD and AAS decrease in the early stage of the HI injury recovery because of the bursting and spiky activities. The preliminary results imply that the AAD and AAS can be used to describe the structural complexity changes in the neural signals, and can be used to segment the stages of HI injury and its recovery.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages2025-2028
Number of pages4
StatePublished - Dec 1 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period9/1/059/4/05

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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