Copyright: ©Author(s) 2026.
World J Psychiatry. Jun 19, 2026; 16(6): 116013
Published online Jun 19, 2026. doi: 10.5498/wjp.v16.i6.116013
Published online Jun 19, 2026. doi: 10.5498/wjp.v16.i6.116013
Figure 2 Significant differences in the heart rate variability parameters between the stress and control groups among Chinese university students.
Significance level was set at P < 0.05. aP < 0.05; TSP: Total power spectrum; TDI: Time domain index; FDI: Frequency domain index; SDNN: Standard deviation of NN intervals; SDNN5: 5-minute mean of standard deviation of NN intervals; VLF: Very low frequency; TP: Total power; DPTI/SPTI: Diastolic/systolic pressure-time index of the heart; C1: Compliance of arterial vascular volume; AI: Augmentation index; EEI: Ejection elasticity index.
- Citation: Wei YG, Yang LH, Qin SS, Chen YL, Yan JN, Liu RX, Ma YM, Wang C, Song ZJ, Wang F, Ji GJ. Mental stress recognition using interpretable machine learning models with heart rate variability among Chinese university students. World J Psychiatry 2026; 16(6): 116013
- URL: https://www.wjgnet.com/2220-3206/full/v16/i6/116013.htm
- DOI: https://dx.doi.org/10.5498/wjp.v16.i6.116013