MEMD-enhanced Multivariate Fuzzy Entropy for the Evaluation of Complexity in Biomedical Signals

Hamed Azami, Keith Smith, Javier Escudero

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

Abstract / Description of output

Multivariate multiscale entropy (mvMSE) has been proposed as a combination of the coarse-graining process and multivariate sample entropy (mvSE) to quantify the irregularity of multivariate signals. However, both the coarse-graining process and mvSE may not be reliable for short signals. Although the coarse-graining process can be replaced with multivariate empirical mode decomposition (MEMD), the relative instability of mvSE for short signals remains a problem. Here, we address this issue by proposing the multivariate fuzzy entropy (mvFE) with a new fuzzy membership function. The results using white Gaussian noise show that the mvFE leads to more reliable and stable results, especially for short signals, in comparison with mvSE. Accordingly, we propose MEMD-enhanced mvFE to quantify the complexity of signals. The characteristics of brain regions influenced by partial epilepsy are investigated by focal and non-focal electroencephalogram (EEG) time series. In this sense, the proposed MEMD-enhanced mvFE and mvSE are employed to discriminate focal EEG signals from non-focal ones. The results demonstrate the MEMD-enhanced mvFE values have a smaller coefficient of variation in comparison with those obtained by the MEMD-enhanced mvSE, even for long signals. The results also show that the MEMDenhanced mvFE has better performance to quantify focal and non-focal signals compared with multivariate multiscale permutation entropy.
Original languageEnglish
Title of host publicationProceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Pages3761-3764
Number of pages4
ISBN (Electronic)978-1-4577-0220-4/16
Publication statusPublished - 18 Aug 2016
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Florida, Orlando, United States
Duration: 16 Aug 201620 Aug 2016
https://embc.embs.org/2016/

Conference

Conference38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated titleEMBC 2016
Country/TerritoryUnited States
CityOrlando
Period16/08/1620/08/16
Internet address

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