英译汉：

神经信号处理系统

neural signal analysis system

　　Brain-machine interfaces are promising tools for rehabilitation medicine and medical electronics. Most conventional neural signal analysis systems used in brain-computer interfaces are composed of silicon CMOS circuits. However, with the increasing number of recording electrodes, the systems face great challenges in terms of power consumption and delays.

　　Researchers from Tsinghua University have developed a memristor-based neural signal analysis system and used the system to implement the filtering and identification of epilepsy-related neural signals, achieving an accuracy of 93.46 percent. The power consumption of the system is less than one four-hundredth of that of conventional neural signal analysis systems.

　　脑机接口技术在康复医学、医疗电子等领域有着光明的发展前景。目前，主流的脑机接口中的神经信号分析模块由硅CMOS电路构成，但随着脑机接口中的信号采集通道数的增加，系统面临着功耗和延时等方面的巨大挑战。

　　清华大学研究团队研制出了基于忆阻器阵列的脑电神经信号处理系统，对大脑癫痫神经信号进行过滤与识别，实现了93.46%的高准确率。与传统神经信号处理系统相比，该系统将功耗降低了400多倍。

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