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1.
Chinese Journal of Medical Instrumentation ; (6): 404-407, 2022.
Article in Chinese | WPRIM | ID: wpr-939756

ABSTRACT

This study introduces a portable multi-channel EEG signal acquisition system. The system is mainly composed of EEG electrode connector, signal conditioning circuit, EEG acquisition part, main control MCU and power supply part. The low-power EEG acquisition front-end ADS1299 and STM32 are used to form the signal acquisition and data communication part. The collected EEG signal can be transmitted to the PC for real-time display. After relevant tests, the system has small volume, low power consumption, high signal-to-noise ratio, and meets the requirements of portable wearable medical devices.


Subject(s)
Electric Power Supplies , Electrodes , Electroencephalography , Signal Processing, Computer-Assisted , Signal-To-Noise Ratio
2.
International Journal of Biomedical Engineering ; (6): 222-226, 2019.
Article in Chinese | WPRIM | ID: wpr-751617

ABSTRACT

Objective To design a portable electroencephalography(EEG) acquisition system to acquire and analysis steady-state visual potentials (SSVEP). Methods The microprocessor MSP432P401 series MCU was used to control the high-performance integrated analog front end ADS1299 to realize the acquisition, amplification and analog-to-digital (AD) conversion of EEG signals. The digital EEG signal is sent to the host computer for processing by WIFI. Spontaneous EEG signals and steady-state visually evoked EEG signals from 3 healthy subjects were collected to verify system performance. Results The collected signal had a clear α-wave rhythm of closed-eye spontaneous EEG signals. The power spectrum density shows that the steady-state visually induced EEG signal frequency and harmonic frequency peak at the corresponding stimulation frequency, indicating that the system works normally and the performance is good. Conclusions The designed portable EEG acquisition system can accurately collect the spontaneous and induced EEG signals of the human body, which provides technical support for the clinical application of SSVEP technology.

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