中文摘要：

针对目前监测脑血流的设备和手段的不足，本研究建立了一套基于磁感应相移技术（MagneticInduction PhaseShift，MIPS）的无创非接触脑血流测量系统。为了明确此系统测得信号所代表的物理含义。首先进行了物理模型实验，采用微型泵和橡胶管分别模拟心脏泵血和血管搏动；为了进一步验证该实验系统检测脑血流的可行性和可靠性，又进行了10名健康志愿者临盏床实验，并对测得的信号进行小波分析去除整体基线漂移、高通滤波去除呼吸干扰、频谱分析和3次样条差值去除局部基线漂移等信号处理，处理后的信号进行波形面积计算，以便统计分析同一个体的重复性和不同个体之间的差异。物理实验结果表明MIPS方法测得的信号代表橡胶管的舒张与收缩，反映了橡胶管搏动的物理机制；志愿者实验结果表明测得的信号波形形状类似于脉搏波，反映了脑血流的周期性变化，MIPS信号频率在1Hz左右，通过统计分析面积数值发现10名健康志愿者的尸值均大于0．05，实验中每位健康志愿者的各组测量数据之间没有显著性差异。实验结果表明该系统能够实时监测脑血流的基本变化情况，且系统具有非接触、精度高、灵敏度高、可连续监测等优点，作为一种监测脑血流的新手段，具有潜在的应用价值。

英文摘要：

A system based on magnetic induction phase shift （MIPS） for noninvasive and non-contact measurement of cerebral blood flow was established to solve the problem of inadequate equipment and tools to monitor cerebral blood flow. In order to clarify the physical meaning of signals detected by this system, a physical model experiment was carried out. And a miniature pumps and a rubber tube were used to simulate heart and blood vessel. To further validate the feasibility and stability of this experimental system for measuring cerebral blood flow, 10 healthy volunteers underwent clinical experiment. The detected signals were processed and analyzed by applying Wavelet analysis to remove the whole baseline drift, high-pass filter to remove the breathing interference, spectrum analysis and the Cubic Spline to remove the local baseline drift. And the waveform area of processed signals was calculated to statistically analyze the repeatability of the same individual and differences between different individuals. The physical experiment results showed that signals detected by MIPS represented the diastole and systole of rubber tube, reflecting the physical mechanism of pulsation of rubber tube, while the volunteer experiment results showed that the shape of detected signal waveform was similar with pulse wave, reflecting cyclical changes of cerebral blood flow. The signal frequency of MIPS was about 1 Hz. According to statistical analysis of the waveform area, 10 healthy volunteers＇ P values were greater than 0.05. There were no significant differences between the measurement data of each healthy volunteer. The experiment results show that the system can monitor the changes of cerebral blood flow, with the advantages of non-contact, high-precision, high sensitivity, continuous monitoring, etc. As a new method of monitoring cerebral blood flow, the system has potential application value.