相位同步调制的无标度脑综

D. Wu, Chaoyi Li, Jie Liu, Jing Lu, De-zhong Yao
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引用次数: 6

摘要

为了将脑活动作为一段音乐来听,我们提出了无音阶脑波音乐(SFBM)技术,该技术可以根据脑电图和音乐的幂律将头皮脑电图(EEG)转换成音符。在目前的研究中,这种方法被进一步扩展到两个频道的音乐合奏。首先,来自两个选定通道的EEG数据被转换成乐器数字接口(MIDI)序列,其中EEG参数调制每个音符的音高、持续时间和音量。通过希尔伯特变换计算两个通道的相位同步指数。然后根据相位同步指数将两个MIDI序列整合成一个合声。同步指数高的脑电以辅音音程多为特征,而同步指数低的脑电以不辅音音程为特征。从真实的脑电图片段中得到的脑集合显示了闭眼和睁眼状态下和声和音高分布的差异。此外,脑波集合中还存在无标度现象。因此,相位同步调制的无标度脑集合是通过听觉和音乐方式表达脑电信号的一种新尝试,可用于脑电信号监测和生物反馈。
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Scale-free brain ensemble modulated by phase synchronization
To listen to brain activity as a piece of music, we proposed the scale-free brainwave music (SFBM) technology, which could translate the scalp electroencephalogram (EEG) into music notes according to the power law of both EEG and music. In the current study, this methodology was further extended to a musical ensemble of two channels. First, EEG data from two selected channels are translated into musical instrument digital interface (MIDI) sequences, where the EEG parameters modulate the pitch, duration, and volume of each musical note. The phase synchronization index of the two channels is computed by a Hilbert transform. Then the two MIDI sequences are integrated into a chorus according to the phase synchronization index. The EEG with a high synchronization index is represented by more consonant musical intervals, while the low index is expressed by inconsonant musical intervals. The brain ensemble derived from real EEG segments illustrates differences in harmony and pitch distribution during the eyes-closed and eyes-open states. Furthermore, the scale-free phenomena exist in the brainwave ensemble. Therefore, the scale-free brain ensemble modulated by phase synchronization is a new attempt to express the EEG through an auditory and musical way, and it can be used for EEG monitoring and bio-feedback.
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