Graduate School of Information Science and Technology, Osaka University, Suita 565-0871, Japan.
Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, Suita 565-0871, Japan.
Sensors (Basel). 2023 Aug 7;23(15):7006. doi: 10.3390/s23157006.
Subjective well-being (SWB) describes how well people experience and evaluate their current condition. Previous studies with electroencephalography (EEG) have shown that SWB can be related to frontal alpha asymmetry (FAA). While those studies only considered a single SWB score for each experimental session, our goal is to investigate such a correlation for individuals with a possibly different SWB every 60 or 30 s. Therefore, we conducted two experiments with 30 participants each. We used different temperature and humidity settings and asked the participants to periodically rate their SWB. We computed the FAA from EEG over different time intervals and associated the given SWB, leading to pairs of (FAA, SWB) values. After correcting the imbalance in the data with the Synthetic Minority Over-sampling Technique (SMOTE), we performed a linear regression and found a positive linear correlation between FAA and SWB. We also studied the best time interval sizes for determining FAA around each SWB score. We found that using an interval of 10 s before recording the SWB score yields the best results.
主观幸福感（SWB）描述了人们对当前状况的体验和评价程度。先前使用脑电图（EEG）的研究表明，SWB 可以与额 alpha 不对称（FAA）相关。虽然这些研究仅为每个实验会话考虑了一个单一的 SWB 得分，但我们的目标是针对每个 60 或 30 秒可能具有不同 SWB 的个体进行此类相关性研究。因此，我们进行了两项各有 30 名参与者的实验。我们使用了不同的温度和湿度设置，并要求参与者定期评估他们的 SWB。我们从 EEG 计算了不同时间间隔的 FAA，并将给定的 SWB 相关联，从而得到了（FAA，SWB）值对。在用 Synthetic Minority Over-sampling Technique（SMOTE）校正数据的不平衡后，我们进行了线性回归，发现 FAA 和 SWB 之间存在正线性相关性。我们还研究了确定每个 SWB 得分周围 FAA 的最佳时间间隔大小。我们发现，在记录 SWB 得分之前使用 10 秒的间隔可获得最佳结果。
