Entropy index in quantitative EEG measurement for diagnosis accuracy

Aim Lay-Ekuakille, Patrizia Vergallo, Giuseppe Griffo, Francesco Conversano, Sergio Casciaro, Shabana Urooj, Vikrant Bhateja, Antonio Trabacca

Research output: Contribution to journalArticle

Abstract

Electroencephalogram (EEG) remains the most immediate, simple, and rich source of information for understanding phenomena related to brain electrical activities. It is certainly a source of basic and interesting information to be extracted using specific and appropriate techniques. The most important aspect in processing EEG signals is to use less co-lateral assets and instrumentation in order to carried out a possible diagnosis; this is the approach of early diagnosis. Advanced estimate spectral analysis can reveal new information encompassed in EEG signals by means of specific parameters or indices. The research proposes a multidimensional approach with a combined use of decimated signal diagonalization (DSD) as basis from which it is possible to work by finding appropriate signal windows for revealing expected information and overcoming signal processing limitations encountered in quantitative EEG. Important information, about the state of the patient under observation, must be extracted from calculated DSD bispectrum. For this aim, it is useful to define an assessment index about the dynamic process associated with the analyzed signal. This information is measured by means of entropy, since the degree of order/disorder of the recorded EEG signal will be reflected in the obtained DSD bispectrum. The general advantage of multidimensional approach is to reveal eventual stealth frequencies "in space and in time" giving a topological vision to be correlated to physical areas which these frequencies emerge from. Long term and sleeping EEG recorded are analyzed, and the results obtained are of interest for an accurate diagnosis of the patient's clinical condition.

Original languageEnglish
Article number6662414
Pages (from-to)1440-1450
Number of pages11
JournalIEEE Transactions on Instrumentation and Measurement
Volume63
Issue number6
DOIs
Publication statusPublished - 2014

Keywords

  • Biomedical measurements
  • Bispectral analysis
  • Decimated signal diagonalization (DSD)
  • Diagnosis accuracy
  • Electroencephalogram (EEG)
  • Entropy
  • Signal processing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation

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  • Cite this

    Lay-Ekuakille, A., Vergallo, P., Griffo, G., Conversano, F., Casciaro, S., Urooj, S., Bhateja, V., & Trabacca, A. (2014). Entropy index in quantitative EEG measurement for diagnosis accuracy. IEEE Transactions on Instrumentation and Measurement, 63(6), 1440-1450. [6662414]. https://doi.org/10.1109/TIM.2013.2287803