Takai Eiji, Aoyagi Takahiro, Ichikawa Keita, Matsuura Yasuyuki, Kinoshita Fumiya, Takada Hiroki
Soda Aromatic Co., Ltd.
Graduate School of Engineering, University of Fukui.
Nihon Eiseigaku Zasshi. 2022;77(0). doi: 10.1265/jjh.20012.
Olfactory stimulation elicits various physiological responses. However, few reports exist on the changes in gastric motility during olfactory stimulation in humans. In this regard, we carried out electrogastrography (EGG) to non-invasively measure the gastric myoelectrical activity, which regulates gastric motility. Moreover, subjective sensory evaluation was performed to determine which characteristics of vanilla odor at two different concentrations affect the myoelectrical activity.
The participants consisted of eight healthy young males. EGG and electrocardiography (ECG) recordings were obtained approximately 20 min prior to and during olfactory stimulation. Autonomic nervous system activity was evaluated in terms of heart rate variability (HRV) and mean heart rate (HR) from ECG signals. EGG signals were analyzed by spectral analysis. In addition, the translation error was estimated by the Wayland algorithm. Sensory evaluation was performed using the Visual Analog Scale (VAS).
There were no significant differences in HRV and HR values and results of spectral analyses of EGG signals in all sample presentations. The translation error of EGG signals and the rating of perceived odor intensity significantly increased in a concentration-dependent manner. There was a strong positive correlation between translation error and odor intensity.
The correlation found between translation error and odor intensity suggests that the higher the vanilla odor intensity was perceived, the greater the randomness of EGG signals was. Our results suggest that the application of the Wayland algorithm to EGG signals can be used as an objective indicator in odor evaluation.
嗅觉刺激会引发各种生理反应。然而，关于人类嗅觉刺激期间胃动力变化的报道很少。在这方面，我们进行了胃电图（EGG）检查，以无创方式测量调节胃动力的胃肌电活动。此外，还进行了主观感官评估，以确定两种不同浓度香草气味的哪些特征会影响肌电活动。
参与者包括八名健康年轻男性。在嗅觉刺激之前和期间约20分钟获取EGG和心电图（ECG）记录。根据ECG信号的心率变异性（HRV）和平均心率（HR）评估自主神经系统活动。通过频谱分析对EGG信号进行分析。此外，使用韦兰算法估计翻译误差。使用视觉模拟量表（VAS）进行感官评估。
在所有样本呈现中，HRV和HR值以及EGG信号的频谱分析结果均无显著差异。EGG信号的翻译误差和气味强度感知评分呈浓度依赖性显著增加。翻译误差与气味强度之间存在强正相关。
翻译误差与气味强度之间的相关性表明，感知到的香草气味强度越高，EGG信号的随机性就越大。我们的结果表明，将韦兰算法应用于EGG信号可作为气味评估的客观指标。
