为准确、全面地探究救援队员负重行走体力疲劳全过程发展趋势，提出了基于眼动特征-肌电信号-主观评价的多维疲劳程度评价方法。招募8名志愿者进行负重行走疲劳诱发实验，利用眼镜式眼动仪，采集并分析被试眼跳次数变化率（saccade time, ST）、平均眼跳速度变化率（saccade speed, SS）和最大眼跳幅度变化率（saccade amplitude, SA）。研究表明：ST、SS、SA与主观疲劳评价的相关性分别为-0.857±0.052、-0.938±0.054、不相关；与肌电信号值的相关性分别为-0.782±0.090、-0.942±0.030、-0.928±0.026。对主观评分、肌电信号值和眼动参数进行多元线性回归分析，回归方程R²＝0.989，其中肌电信号、ST、SS和SA回归系数分别为0.27、-0.16、-0.513和-0.124。研究结果为负重行走疲劳监测与评价方法做出了新的探索与尝试。

To accurately and comprehensively explore the entire process of physical fatigue development in rescue team members during weighted walking, a multidimensional fatigue assessment method based on eye movement characteristics, electromyographic signals, and subjective evaluation is proposed. Eight volunteers were recruited for the weight-bearing walking fatigue induction experiment. The glasses eye tracking was used to extract the eye movement data about ST (saccade time), average SS (saccade speed) and maximum SA (saccade amplitude). The correlation between the characteristics of eye movement and the degree of fatigue estimated by subjective evaluation was -0.857 ± 0.059, -0.938 ± 0.092, not correlated, respectively. The correlation with iEMG to judge fatigue degree was -0.782 ± 0.090, -0.942 ± 0.030, -0.928 ± 0.026, respectively. Multiple linear regression analysis was performed on subjective score, iEMG value and eye movement parameters. The regression model yielded a coefficient of determination R² = 0.989, with the following standardized coefficients: iEMG signals = 0.27, ST = -0.16, SS = -0.513, and SA = -0.124. This study makes new explorations and attempts in the monitoring and evaluation methods of fatigue during weighted walking.