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To demonstrate the efficacy of the conventional indices (SpE, PE, AE, DFA, and SFS) and the proposed ones (SpG, BSpG), all indices were applied to the EEG signal obtained during a period of approximately 130 min that included the preanesthesia stage, the anesthesia stage, including the LOC, and the recovery stage including the ROC.
Figure 3(j) shows the other proposed index, BSpG, in the 0.8-47 Hz band.
Table 1 shows the statistic values of the conventional indices (SpE, PE, AE, DFA, and SFS) and the proposed indices (SpG and BSpG) during the four anesthetic stages (induction, deep hypnosis, awakened, and post) for all subjects.
Those values were largest in the BSpG (R = 0.770, p < 0.001), which indicates that the BSpG is appropriate for the assessment of the propofol effect on the electroencephalogram.
Computational Complexity of SpG and BSpG. To evaluate the computational complexity of the proposed methods, Table 5 provides the running time of the conventional and proposed methods for the examined dataset.
Caption: Figure 1: SpG and BSpG for various power spectra: (a) SpG and (b) BSpG.
(d), (e), (f), (g), (h), (i), and (j) show the SpE: spectral entropy, PE: permutation entropy, AE: approximate entropy, DFA: detrended fluctuation analysis exponent, SFS: SynchFastSlow, SpG: spectral Gini index, and BSpG: binarized spectral Gini index, respectively.
(a) SpE, (b) PE, (c) AE, (d) DFA, (e) SFS, (f) SpG, and (g) BSpG.
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