Key result
Sample entropy (SampEn) outperformed Fuzzy entropy (FuzzyEn) in alpha-band feature detection, especially in the low-alpha sub-band (8-10 Hz, p<0.001).
p-value: p=<0.001
SampEn may be more robust than FuzzyEn under noise conditions for analyzing real-world signals like EEG in depression.
FuzzyEn may enhance noisy EEG complexity analysis in depression; leaves open clinical adoption pending validation.
Fuzzy entropy (FuzzyEn) theoretically outperforms sample entropy (SampEn) in quantifying dynamic complexity; however, its anti-noise robustness remains insufficiently validated. This study compares SampEn and FuzzyEn using model simulations and real-world depression electroencephalogram (EEG) signals. The two entropy metrics are first compared using chaotic time series generated from the logistic and two-dimensional Henon maps, with additive white Gaussian noise (SNRs ranging from 1 to 10 dB). Surrogate data analysis reveals that SampEn maintains stronger nonlinear detection performance (lower than the 2.5th percentiles of surrogate data) under noisy conditions. EEG data from 46 depressed patients and 75 healthy subjects are employed to evaluate SampEn and FuzzyEn, with statistical differences corrected by the Bonferroni method. Depressed patients showed significantly increased EEG complexity in the occipital lobe (PO7, PO5, PO3 channels) under visual stimulation (p < 0.01). SampEn outperforms FuzzyEn in alpha-band feature detection, especially the low-alpha sub-band (8–10 Hz, p < 0.001). In summary, this study verifies that SampEn may be more suitable than FuzzyEn under noise conditions, thus providing valuable insights for real-world signal analysis and methodological guidance for developing EEG biomarkers of depression.
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Liu et al. (2026) studied Depression (n=121). Sample entropy (SampEn) vs. Fuzzy entropy (FuzzyEn) was evaluated on Alpha-band feature detection (low-alpha sub-band 8-10 Hz) (p=<0.001). Sample entropy (SampEn) outperformed Fuzzy entropy (FuzzyEn) in alpha-band feature detection, especially in the low-alpha sub-band (8-10 Hz, p<0.001).
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