Hematoma enlargement often occurs in patients with spontaneous intracerebral hemorrhage (ICH), so it is necessary to monitor the amount of intracranial hemorrhage in patients after admission. At present, the commonly used intracranial pressure (ICP) method has the disadvantages of trauma and infection, and the Computer Tomography (CT) method cannot achieve continuous monitoring. So it is urgent to develop a non-contact and non-invasive method for continuous monitoring of cerebral hemorrhage. The dielectric properties of blood are different from those of brain tissue, so the hematoma will affect the amplitude and phase of the electromagnetic waves passing through the head. A microstrip antenna was designed to construct the detection system for cerebral hemorrhage. Based on the animal model of acute cerebral hemorrhage, the detecting experiment was carried out on thirteen rabbits. Each rabbit had three bleeding states: 1, 2, and 3 ml, which represented the severity of cerebral hemorrhage. According to the measured data of high dimension and small sample, the support vector machine (SVM) algorithm was used to assess the severity of cerebral hemorrhage. According to simulation results, the antenna’s forward radiation was 5 dB larger than the backward radiation, which ensured the antenna being not affected by external signals during the measurement. According to test results, the −10 dB workband of the antenna was 1.55–2.05 GHz and the frequency range of the transmission parameters S₂₁ above −30 dB is 1.2 − 3 GHz. In the animal experiment, the phase difference of Transmission coefficient S₂₁ was gradually increased with the increase of bleeding volume. Through the classification of 39 bleeding states of the 13 rabbits, the total accuracy was about 77%. Through animal experiments, the feasibility of detection method has been proved. But the classification accuracy need to be further improved. The detection system is based on broadband antenna has the potential to realize non-contact, non-invasive and continuous monitoring for cerebral hemorrhage.

自发性脑出血（ICH）患者常发生血肿扩大，因此入院后有必要监测患者的颅内出血量。目前，常用的颅内压（ICP）方法具有创伤和感染的缺点，而计算机断层扫描（CT）方法无法实现连续监测。因此，迫切需要开发一种非接触式，非侵入性的连续监测脑出血的方法。血液的介电特性不同于大脑组织的介电特性，因此血肿会影响穿过头部的电磁波的振幅和相位。设计了微带天线以构建脑出血检测系统。根据急性脑出血的动物模型，对13只兔进行了检测实验。每只兔子有三种出血状态：1、2和3 ml，代表脑出血的严重程度。根据高维，小样本的实测数据，采用支持向量机（SVM）算法评估脑出血的严重程度。根据仿真结果，天线的前向辐射比后向辐射大5 dB，这确保了天线在测量过程中不受外部信号的影响。根据测试结果，天线的−10 dB工作频带为1.55–2.05 GHz，传输参数的频率范围 根据高维，小样本的实测数据，采用支持向量机（SVM）算法评估脑出血的严重程度。根据仿真结果，天线的前向辐射比后向辐射大5 dB，这确保了天线在测量过程中不受外部信号的影响。根据测试结果，天线的−10 dB工作频带为1.55–2.05 GHz，传输参数的频率范围 根据高维，小样本的实测数据，采用支持向量机（SVM）算法评估脑出血的严重程度。根据仿真结果，天线的前向辐射比后向辐射大5 dB，这确保了天线在测量过程中不受外部信号的影响。根据测试结果，天线的−10 dB工作频带为1.55–2.05 GHz，传输参数的频率范围高于-30 dB的S ₂₁为1.2-3 GHz。在动物实验中，随着出血量的增加，透射系数S ₂₁的相位差逐渐增大。通过对13只兔子的39种出血状态进行分类，总准确性约为77％。通过动物实验，证明了检测方法的可行性。但是分类精度有待进一步提高。基于宽带天线的检测系统具有实现非接触，无创和连续监测脑出血的潜力。