Wrist-worn sensor validation for heart rate variability and electrodermal activity detection in a stressful driving environment

The current dataset contributes to assess the accuracy of the Empatica 4 (E4) wristband for the detection of heart rate variability (HRV) and electrodermal activity (EDA) metrics in stress-inducing conditions and growing-risk driving scenarios. Heart Rate Variability (HRV) and ElectroDermal Activity (EDA) signals were recorded over six experimental conditions (i.e., Baseline, Video Clip, Scream, No Risk Driving, Low-Risk Driving, and High-Risk Driving) and by means of two measurement systems: the E4 device and a gold standard system. The raw quality of the physiological signals was enhanced by means of robust semi-automatic reconstruction algorithms. Heart Rate Variability time-domain parameters showed high accuracy in motion-free experimental conditions, while Heart Rate Variability frequency-domain parameters reported sufficient accuracy in almost every experimental condition.本数据集旨在评估Empatica 4（E4）腕带在应激环境与风险递增的驾驶场景中检测心率变异性（Heart Rate Variability, HRV）及皮肤电活动（Electrodermal Activity, EDA）指标的准确性。研究共设置六种实验条件（即基线状态、视频片段刺激、尖叫刺激、无风险驾驶、低风险驾驶及高风险驾驶），并采用两套测量系统采集数据：E4腕带与金标准测量系统。通过鲁棒半自动重建算法优化了生理信号的原始采集质量。时域心率变异性参数在无运动的实验条件下展现出较高的检测精度，而频域心率变异性参数则在几乎所有实验条件中均表现出合格的检测精度。