Constructing a Personalized Music Prenatal Education System by Utilizing Brain-Computer Interface along with AI Algorithms and Conducting Research on Its Neural Mechanisms

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The system effectively enhances the bond between mother and fetus, promoting neural plasticity and brain development.
A dynamic analysis based on real-time EEG signals informs music customization, adapting to pregnancy stages and maternal emotions.
Neurobiological analysis indicates that rhythmic auditory stimulation influences neurotransmitter activity and synapse formation during pregnancy.
Future directions include addressing signal interference and improving multimodal stimulation for wearable BCI applications.

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Research reveals that a personalized music prenatal system enhances fetal brain development and maternal bonding through BCI and AI.

Ziye Jia (2025) studied this question.

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