Copyright: ©Author(s) 2026.
World J Gastroenterol. Apr 14, 2026; 32(14): 115162
Published online Apr 14, 2026. doi: 10.3748/wjg.v32.i14.115162
Published online Apr 14, 2026. doi: 10.3748/wjg.v32.i14.115162
Table 3 Reference for the characteristics of bowel sounds
| Feature type | Feature | Physical meaning |
| Time domain | Max, Min, Mean, Peak_to_Peak | Amplitude peak, minimum, arithmetic mean value, difference between maximum and minimum |
| Abs_Mean, Variance, Std_Dev, RMS | Amplitude absolute value average, variance, standard, root mean square | |
| Waveform_Length, Skewness | Cumulative change magnitude, signal distribution asymmetry | |
| Kurtosis, Crest_Factor | Signal peakiness, normalized fourth moment | |
| Zero_Crossing_Rate_Mean, Varian, Skewne | Signal oscillation frequency, oscillation degree, oscillation skewness characteristic | |
| Q1, Q3, interquartile range | Amplitude 25th, 75th percentile value, range between 25th and 75th | |
| Shape_Factor, Impluse_Factor | Regularity, peak component intensity of signals | |
| Margin_Factor, Hjorth_Activity, Hjorth Mobility | Signal large amplitude change index, the total power of the signal, contraction frequency fluctuation | |
| Autocoor_Peak, Fractal_Dimension, Energy, Avg_energy | Maximum signal self-similarity, signal complexity/irregularity, total squared amplitude, energy per sample | |
| Frequency domain | Spectral_Centroid, Slope, Bandwidth, Flatness | Signal frequency, variance around of centroid, tonal vs noise-like character |
| Spectral_Rolloff85, Rolloff95, Steepness | Frequency point with 85%, 95% total energy, the average energy ratio of high frequency to low frequency | |
| Band_Energy_[1-5] | 50-100 Hz, 100-500 Hz, 500-1000 Hz, 1000-2000 Hz, 2000-4000 Hz | |
| MFCC_Mean_[1-13] | Spectral envelope characteristics | |
| MFCC_Var_[1-13] | Spread of spectral envelope | |
| Spectral Steepness, PSD_Peak, Harmonic_Ratio | Average spectral slope, maximum power spectral density, harmonic content proportion | |
| Time-frequency domain | Wavelet_Energy_[0-2] | Wavelet coefficient energy |
| Wavelet_Kurtosis_[0-2] | Peakiness in wavelet coefficients | |
| STFT_Energy_Kurtosis | Peak concentration of short-time Fourier transform energy | |
| Nonlinear characteristics | Hjorth_Complexity | The complexity of signal changes |
| Wavelet_Entropy_[0-2], STFT_Energy_Entropy | Signal complexity in wavelet domain, uncertainty in time-frequency energy distribution |
- Citation: Zhang L, Wang MY, Wei SY, Su C, Hu SY, Ren XY, Liu YP, Liu C, Wan Y. Predicting gastrointestinal bleeding and audio biomarkers based on machine learning analysis of bowel sounds. World J Gastroenterol 2026; 32(14): 115162
- URL: https://www.wjgnet.com/1007-9327/full/v32/i14/115162.htm
- DOI: https://dx.doi.org/10.3748/wjg.v32.i14.115162