Lee Han-Sol, Park Hangue, Lee Hyung-Min
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:4306-4309. doi: 10.1109/EMBC44109.2020.9175670.
There is an increasing demand for real-time neural signal monitoring from a large number of electrode contacts to provide adequate spatial and temporal resolution for brain mapping and high-resolution neural interface. This paper proposes a novel multi-channel neural recording system that records neural signals from a large number of electrodes with a smaller number of recording channels. The system utilizes an adaptive electrode selection technique to automatically scan the electrode arrays and record from selected electrodes where neural spikes are detected. The proposed neural recording IC was fabricated in CMOS 180 nm process and tested with in vitro environments. Experiment results with pre-recorded neural data indicate that neural spikes can be separated and amplified with the proposed system and counted in real-time.
对于从大量电极触点进行实时神经信号监测的需求日益增长，以便为脑图谱绘制和高分辨率神经接口提供足够的空间和时间分辨率。本文提出了一种新型多通道神经记录系统，该系统能够以较少的记录通道数记录来自大量电极的神经信号。该系统利用自适应电极选择技术自动扫描电极阵列，并从检测到神经尖峰的选定电极进行记录。所提出的神经记录集成电路采用CMOS 180纳米工艺制造，并在体外环境中进行了测试。对预先记录的神经数据的实验结果表明，利用所提出的系统可以分离和放大神经尖峰并进行实时计数。
