A Motor Imagery Training System Based on LHE7909 Portable EEG Acquisition Device

Motor imagery, as an important paradigm in brain- computer interface research, enables control of external devices by analyzing brain activity patterns that resemble actual movements. Variations in sensorimotor rhythms, such as event-related desynchronization/synchronization, can be used to distinguish between different imagery intentions. However, challenges in this field include data quality and complex experimental processes. This paper presents an EEG signal acquisition system based on the ESP32-S3 and LHE7909, which can transmit data to a host computer via WiFi and supports customized interactive experiments. This system constructs a comprehensive framework for signal acquisition, processing, and analysis, offering new possibilities for portable EEG acquisition and experimental training.