| Summary: | 碩士 === 中華大學 === 電機工程學系 === 105 === In this study, the use of binaural beat stimulus to observe whether it can be used to release the pressure of life and improve the concentration of thinking. Previous relational studies have focused on the effects of this stimulus in the electroencephalogram (EEG), and the analysis of the effects of such stimulus in Electrocardiography (ECG) is much less. This study to observe the effects of the binaural beat stimulus on the physical response of subjects analyzes the changes in EEG and ECG, simultaneously.
The binaural beat stimulus is that left ear and right ear input the same tune but different frequencies of music, respectively. This stimulus will stimulate the subject’s brain to produce compensation effects, resulting in the same frequency signal in the EEG, and further affect the other physiological signals of the subject. This study is expected to affect the mental state of the subject by such compensation effects.
In this study, the embedded microcontroller system is used as the core to construct a binaural beat audio generator that the frequency difference between two channels is adjustable. When the subject examines the binaural beat stimulus, we use the single-lead EEG machine developed by Healthware Technology Co., Ltd. to record the subject’s EEG in his forehead. At the same time, we use the six-lead ECG machine also developed by Healthware Technology Co., Ltd. to record the subject’s ECG. Subsequent analysis is done by MATLAB.
The EEG analyses and ECG analyses of the subjects are based on short-term spectrum analysis to calculate the feature parameters. At first, we perform fast Fourier transform on EEG data and ECG data, respectively. In the EEG analyses, we calculate the energy of the α-band and the β-band in the short term. According to the change in the energy ratio of each band in each short term, we can analyze the subject’s mental state. In the ECG analyses, we calculate the energy of the LF-band and the HF-band in the short term. Based on the energy ratio of each band in each short term, we were able to analyze the responses of the sympathetic nervous system and the parasympathetic nervous system.
According to the current experimental results, in the right ear input base-frequency audio and in the left ear input offset-frequency audio, the impact of the subject is more obvious. When the binaural beat stimulus is 10 Hz, the energy ratio of the α-band on EEG and the energy of the HF-band on ECG will increase for most of the subjects. When the binaural beat stimulus is 20 Hz, the energy ratio of the β-band on EEG and the energy of the LF-band on ECG will increase for most of the subjects. The effects of binaural beat stimulus on the subjects are similar to the expected results of this study. In the future, we will perform more experiments to complete further analysis and verification.
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