Neonatal EEG signal characteristics using time frequency analysis

Waleed Abdulla and Lisa Wong

Physica A: Statistical Mechanics and its Applications, 2011, vol. 390, issue 6, 1096-1110

Abstract: Time-frequency analysis is a way to represent the energy contents of a signal in the joint time-frequency domain. It provides a good visual way to separate the frequency contents of a multi-component signal, and display the changes of these components with respect to time. This paper outlines investigative work on neonatal EEG signals using time-frequency analysis. The Cohen’s class distributions are discussed, and kernel optimisation for the Cohen’s class distributions is outlined. Segments of EEG with different background continuity states are analysed using a Cohen’s class distribution, and their characteristics are discussed. Through this paper, interesting information that offers insight towards the EEG signal can be visualized from the time frequency analysis.

Keywords: Time frequency analysis; EEG signal processing (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:390:y:2011:i:6:p:1096-1110

DOI: 10.1016/j.physa.2010.11.013

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