Assessment of the non-linear response of the fSampEn on simulated EMG signals
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
Fixed sample entropy (fSampEn) is a promising technique for the analysis of respiratory electromyographic (EMG) signals. Its use has shown outperformance of amplitude-based estimators such as the root mean square (RMS) in the evaluation of respiratory EMG signals with cardiac noise and a high correlation with respiratory signals, allowing changes in respiratory muscle activity to be tracked. However, the relationship between the fSampEn response to a given muscle activation has not been investigated. The aim of this study was to analyze the nature of the fSampEn measurements that are produced as the EMG activity increases linearly. Simulated EMG signals were generated and increased linearly. The effect of the parameters r and the size of the moving window N of the fSampEn were evaluated and compared with those obtained using the RMS. The RMS showed a linear trend throughout the study. A non-linear, sigmoidal-like behavior was found when analyzing the EMG signals using the fSampEn. The lower the values of r, the higher the non-linearity observed in the fSampEn results. Greater moving windows reduced the variation produced by too small values of r.
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CitationJane, R. [et al.]. Assessment of the non-linear response of the fSampEn on simulated EMG signals. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)". Institute of Electrical and Electronics Engineers (IEEE), p. 5582-5585. ISBN 978-1-7281-1179-7. DOI 10.1109/EMBC46164.2021.9629476.