中文摘要：

为了探究联合收割机驾驶员疲劳的心电变化规律，采集了10名男性驾驶员收获驾驶中的心电数据，对心电信号的心率变异性进行了时域、频域和非线性动力学分析。结果表明：随着驾驶疲劳的加深，时域指标SDNN在驾驶后显著上升（P〈0．05）；频域指标LF及LF／HF显著增加（P〈0．05），HF显著下降（P〈0．05）；非线性动力学特征量样本熵也显著降低（P〈0．05）；3类指标在驾驶前后均具有显著性差异，可通过指标值变化的差异性区分出不同的驾驶疲劳状态；与线性指标相比，样本熵均值变化曲线波动范围小，稳定性较好，可有效地表征联合收割机驾驶员的疲劳状态。

英文摘要：

Electrocardiogram （ECG） data were collected from 10 male drivers when they were driving a combine harvester to explore driver＇s fatigue. The heart rate variability of ECG was researched by time-domain, frequency-domain, and nonlinear dynamic analyses. The results showed that the average value of SDNN increased after driving and a statistically significant difference was observed before and after driving （P〈0.05）. The aver- age value of frequency domain indexes of LF and LF/HF increased significantly. The average value of HF de- creased significantly and significant differences were observed before and after driving （P〈0.05）. The aver- age value of nonlinear dynamic index of SampEn was also significantly reduced （P〈0.05）. All three indexes showed significant differences before and after driving and a different driving fatigue state can be distinguished from the changes of parameter Values. Compared with linear indexes, SampEn curve was much stabler within a small range. Therfore, SampEn effectively reflects the fatigue state of combine harvester drivers.