Technol Health Care. 2020;28(6):665-674. doi: 10.3233/THC-192105.
The human voice is the main feature of human communication. It is known that the brain controls the human voice. Therefore, there should be a relation between the characteristics of voice and brain activity.
In this research, electroencephalography (EEG) as the feature of brain activity and voice signals were simultaneously analyzed.
For this purpose, we changed the activity of the human brain by applying different odours and simultaneously recorded their voices and EEG signals while they read a text. For the analysis, we used the fractal theory that deals with the complexity of objects. The fractal dimension of EEG signal versus voice signal in different levels of brain activity were computed and analyzed.
The results indicate that the activity of human voice is related to brain activity, where the variations of the complexity of EEG signal are linked to the variations of the complexity of voice signal. In addition, the EEG and voice signal complexities are related to the molecular complexity of applied odours.
The employed method of analysis in this research can be widely applied to other physiological signals in order to relate the activities of different organs of human such as the heart to the activity of his brain.
人类的声音是人类交流的主要特征。众所周知，大脑控制着人类的声音。因此，声音的特征和大脑活动之间应该存在一定的关系。
在这项研究中，我们同时分析了脑电图（EEG）作为大脑活动的特征以及声音信号，通过应用不同的气味来改变人类大脑的活动，同时记录他们阅读文本时的声音和 EEG 信号。为此，我们使用了分形理论来处理物体的复杂性。计算并分析了不同大脑活动水平下 EEG 信号与语音信号的分形维数。
结果表明，人类声音的活动与大脑活动有关，其中 EEG 信号复杂性的变化与声音信号复杂性的变化相关。此外，EEG 和语音信号的复杂性与应用气味的分子复杂性有关。
本研究中采用的分析方法可以广泛应用于其他生理信号，以将人体不同器官（如心脏）的活动与大脑活动联系起来。
