脑电图
计算机科学
大脑活动与冥想
软件可移植性
人工智能
神经科学
心理学
程序设计语言
作者
Wenjie Cui,Guangda Liu,Guangda Liu,Yubing Sun,Jing Cai
出处
期刊:IEEE Sensors Journal
[Institute of Electrical and Electronics Engineers]
日期:2024-01-15
卷期号:24 (2): 2125-2133
标识
DOI:10.1109/jsen.2023.3337842
摘要
Electroencephalography (EEG) and functional near infrared spectroscopy (fNIRS) have emerged as continuous monitoring techniques for neural cluster electrical activity and local cerebral hemodynamic activity, playing a crucial role in both basic scientific research and clinical applications. However, the progress of many neuroscience studies is hindered by limitations in instrument size, portability, synchronous acquisition, and mobility. To overcome these limitations, this paper proposes an integrated system comprising 112 fNIRS channels and 16 EEG channels. The characteristic of this system is its support for measurements under mobile conditions, and the scalable design of the sensor cap allows for flexible configuration of EEG and fNIRS sensors in different experiments. A corresponding upper computer software was developed to monitor brain activity in real time. Noise and drift tests demonstrate that the instrument we designed meets the requirements for physiological signal acquisition. In visual evoked experiments, the local hemodynamic changes and visual evoked potentials of the subjects show good consistency with the experimental results reported in the literature, indicating that the proposed EEG-fNIRS acquisition system can simultaneously monitor both brain electrical activity and hemodynamic changes.
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