基于脑电信号的硬件设计方案
Hardware Design Scheme Based on EEG Signals

本研究旨在设计一种基于脑电信号的硬件系统，以实现对脑电信号的准确检测和分析。脑电信号作为一种重要的生理信号，对于研究人类大脑功能和疾病诊断具有重要意义。然而，脑电信号的微弱特性和易受干扰的特点，使得其检测和放大成为一项具有挑战性的任务。在总体设计中，采用了模块化设计思想，将硬件系统分为前置放大电路、滤波器和信号处理模块，设计了一种适用于脑电信号的前置级电路。介绍了滤波器，并设计了一种带通滤波器，能够有效地保留脑电信号的频带范围内的信号，并去除其他频率的干扰。实验结果显示，设计的硬件系统能够准确地检测和放大脑电信号，并且具有较好的抗干扰性能。通过对实验数据的分析，验证了硬件系统的有效性和可靠性。
This study aims to design a hardware system based on electroencephalogram (EEG) signals to achieve accurate detection and analysis of EEG signals. EEG signals, as an important physiological signal, are crucial for researching human brain function and diagnosing diseases. However, the weak nature and susceptibility to interference of EEG signals make their detection and amplifica-tion a challenging task. In the overall design, a modular design approach is adopted, dividing the hardware system into preamplifier circuits, filters, and signal processing modules. A preamplifier circuit suitable for EEG signals is designed. Filters are introduced, and a band-pass filter is designed to effectively retain signals within the frequency range of EEG signals while removing interference from other frequencies. Experimental results demonstrate that the designed hardware system can accurately detect and amplify EEG signals, and exhibits good anti-interference performance. Through analysis of experimental data, the effectiveness and reliability of the hardware system are validated.