Objective.Prompt identification of haematomas is crucial for effective clinical treatment. Magnetic induction phase shift technology (MIPS), known for its portability, non-contact nature, and affordability, is limited by the weak signal induced by cerebral hemorrhage leading to poor sensitivity, which is urgent to be improved.Approach. Tracer of magnetic nanoparticles is introduced to produce robust induced magnetic field. A symmetrical gradiometer coil is used as the receiving coil to nullify the effect of primary magnetic field generated by the excitation coil, which is designed as a Helmholtz coil.Main results.In vitroexperiments showcase the remarkably improved sensitivity and stability of the detection system, with magnetic nanoparticles notably boosting the MIPS signal for hemorrhage. Moreover,in vivoexperiments employing a rabbit autologous blood cerebral hemorrhage model reveal that with a hemorrhage volume of 2 ml, the experimental group with employed magnetic nanoparticles increased the MIPS signal change by 23-fold compared to the control group without magnetic nanoparticles.Significance. The sensitivity of MIPS for hemorrhage detection is significantly improved compared to traditional method. The magnetic nanoparticle-enhanced MIPS detection technique holds promise as an optimal solution for real-time, non-invasive bedside monitoring for cerebral hemorrhage.

Stroke is a leading cause of mortality and disability worldwide, with rapid diagnosis critical for effective intervention. Conventional imaging modalities such as computed tomography (CT) and magnetic resonance imaging (MRI) are limited by their size, cost, and unsuitability for bedside or prehospital emergency use. This study presents a novel superparamagnetic iron oxide nanoparticle (SPIO)-based magnetic induction tomography (SPIO-MIT) for noninvasive stroke-tracing imaging. Operating at an ultralow excitation frequency of 3 kHz and a magnetic field strength below 1 mT, the system effectively suppresses background interference from biological tissues while enhancing sensitivity to SPIO distribution. System performance was validated through phantom experiments featuring varied SPIO positions, geometries, and concentration gradients, confirming accurate imaging of SPIOs with negligible response to low-conductivity substances. Complementary in vitro experiments embedding SPIO-blood mixtures in biological tissues demonstrated minimal background interference. In vivo experiments on a rabbit intracerebral hemorrhage (ICH) model further confirmed precise localization of SPIOs injected into the brain, with detection sensitivity down to 1.2 mg of iron and an imaging diameter of 60 mm. In summary, the developed SPIO-MIT system enables sensitive, noninvasive spatial mapping of SPIOs. By combining the high sensitivity of magnetic particle imaging (MPI) with the operational simplicity and biological safety of MIT, SPIO-MIT represents a promising technique for portable, bedside, and prehospital stroke diagnostics.

Introduction:The pressure reactivity index (PRx) is a key predictor of cerebrovascular function, widely used to guide and optimize therapeutic strategies in patients with acute brain injury. This study investigates a non-invasive bio-electromagnetic technique for monitoring and maintaining cerebrovascular function in a rabbit model of acute brain injury. Methods:A coaxial parallel double-coil sensor was designed to detect changes in intracranial electromagnetic properties, measured as magnetic induction phase shifts (MIPS), which reflect cerebral blood volume fluctuations. A cerebrovascular function monitoring platform was constructed with this sensor, a vector network analyzer, a LabVIEW software platform, and a physiological signal acquisition device to record the MIPS and arterial blood pressure (ABP). In the animal experiment, a novel cerebrovascular function index Conductivity Reactivity index (CRx), established with MIPS and ABP, was to assess optimal cerebral blood perfusion pressure (CPP) for maintaining the cerebrovascular function in four gradients of CPP in acute brain injury model. Results:The results found that the CRx (-0.072 ± 0.203) was a significant negative correlation with the PRx (0.223 ± 0.203) (r = -0.447, P = 0.003). Under the optimal CPP determined by the CPP-CRx curve, the mean CRx (0.104 ± 0.170) indicated normal cerebrovascular function, which was significantly different from the other states (CRx = -0.127 ± 0.061, p = 0.009). Discussion:The study demonstrated that CRx has potential to reflect cerebrovascular function dynamics and assess optimal CPP, demonstrating the potential of bio-electromagnetic technology as a noninvasive indicator for monitoring cerebrovascular function.

Currently, electrical capacitance tomography (ECT) is limited to time-differential imaging for monitoring dynamic alterations in cerebral hemorrhage. The inherent constraint of this approach, however, renders it unsuitable for rapid hemorrhage detection, as it requires a reference measurement from a nonhemorrhaging brain. In order to address this limitation, this study proposes a novel approach of frequency-differential ECT (FDECT) for cerebral hemorrhage imaging in practice. The method entails the identification of a frequency range wherein the permittivity variation of cerebral blood with frequency is much greater than the variation of other brain tissues. Within this identified range, two optimal frequencies are selected, and the permittivity difference at these two frequencies is used for imaging. With this method, cerebral hemorrhage is highlighted, and other brain tissues are suppressed, thereby achieving the absolute distribution of cerebral hemorrhage and eliminating the need for nonhemorrhagic baseline data. Simulation results demonstrate that FDECT imaging quality correlates directly with the frequency-dependent permittivity difference between the target and background media, thereby validating FDECT's theoretical basis and highlighting the critical role of optimal frequency selection. Before conducting in vitro animal imaging, we analyzed the dielectric spectra of ex vivo sheep blood, pig fat, and pig brain tissue to identify the optimal frequency range for differentiating blood from these tissues. In vitro experiments confirmed that FDECT with the optimal frequencies effectively images blood within pig fat or brain tissue, contrasting with the suboptimal results from nonideal frequencies. Although essential for FDECT success, optimal frequency pairing does not eliminate the higher noise levels in FDECT images, largely due to the background brain tissue's frequency-dependent dielectric characteristics. In order to mitigate this inherent limitation and improve imaging quality, we intend to implement a three-frequency FDECT approach, reducing background tissue interference.

The research on electromagnetic detection technology for brain diseases requires precise simulation of the human head. This article combines high-precision computed tomography (CT) images and magnetic resonance imaging (MRI) images to establish an electromagnetic numerical model of the human head with a real anatomical structure. (1) It had Asian characteristics and encompassed 14 different structures, including skin, muscles, cranial bones, cerebrospinal fluid, cerebral veins, cerebral arteries, gray matter, white matter of the brain, basal ganglia, thalamus, cerebellum, brainstem, eyeballs, and vertebrae. (2) The model used a combination of 0.625 mm-resolution CT and 1 mm-resolution MRI image data for reconstruction, with a smooth surface and high accuracy. (3) Within the simulation environment, this model enabled the generation of various brain disease scenarios, such as different types and degrees of cerebral hemorrhage and cerebral ischemia. It proved valuable for studying the distribution of electromagnetic fields in the human head and for investigating novel electromagnetic detection techniques exploiting brain tissue dielectric properties. (4) The created physical model and the numerical model were derived from the same person, which provided a good continuity between simulation experiments and physical experiments, and provided a realistic verification platform for the research of electromagnetic detection technology for brain diseases, such as differentiating the kind of stroke, monitoring brain edema, brain tumor microwave imaging, and diagnosis of Alzheimer’s disease.

Introduction: Intracerebral hemorrhage (ICH) is a devastating disease with high rates of mortality and disability. The survival rate and postoperative outcome of ICH can be greatly improved through prompt diagnosis and treatment. CT and MRI are now the gold standards for the diagnosis of ICH, but they are not practical for use in pre-hospital emergencies or at the bedside monitoring.Methods: Based on the earlier research of ICH detection with a single parallel plate electrode sensor, we developed a 16-electrode Electrical Capacitance Tomography (ECT) system for two-dimensional tomographic imaging of ICH in this study. A 5-layer spherical numerical model and an ex vivo porcine physical model of ICH were created for ECT simulation imaging and actual imaging, respectively, to assess the feasibility of this ECT for ICH imaging.Results: The bleeding circles were easily seen in the image reconstruction in numerical imaging. In ex vivo imaging, the existence of bleeding was also more clearly shown with the ECT system; however, the position of the bleeding reconstructed in the image was offset by 3 mm from the real site.Discussion: The study analyzes the causes of this discrepancy and discusses the steps that may be taken to rectify it. Overall, the simulation and ex vivo experimental trials validated the potential of ICH imaging with the ECT method; however, further work is required to increase the performance of the ECT and a more advanced imaging reconstruction algorithm is urgently needed for ICH imaging.

介绍了军队医学院校生物医学工程专业电路分析课程建设的特点,分析了该课程建设存在的问题,提出了增强教学内容与军队医疗卫生装备融合、优化教学方法、创新课程考核模式、升级教学条件的改进措施,为军队医学院校生物医学工程专业的课程建设提供了参考.

Cerebrovascular autoregulation (CVAR) is the mechanism that maintains constant cerebral blood flow by adjusting the caliber of the cerebral vessels. It is important to have an effective, contactless way to monitor and assess CVAR in patients with ischemia. The adjustment of cerebral blood flow leads to changes in the conductivity of the whole brain. Here, whole-brain conductivity measured by the magnetic induction phase shift method is a valuable alternative to cerebral blood volume for non-contact assessment of CVAR. Therefore, we proposed the correlation coefficient between spontaneous slow oscillations in arterial blood pressure and the corresponding magnetic induction phase shift as a novel index called the conductivity reactivity index (CRx). In comparison with the intracranial pressure reactivity index (PRx), the feasibility of the conductivity reactivity index to assess CVAR in the early phase of cerebral ischemia has been preliminarily confirmed in animal experiments. There was a significant difference in the CRx between the cerebral ischemia group and the control group (p = 0.002). At the same time, there was a significant negative correlation between the CRx and the PRx (r = − 0.642, p = 0.002) after 40 min after ischemia. The Bland–Altman consistency analysis showed that the two indices were linearly related, with a minimal difference and high consistency in the early ischemic period. The sensitivity and specificity of CRx for cerebral ischemia identification were 75

BackgroundMagnetic-induction phase shift (MIPS) was rarely used in vivo and clinically because of low sensitivity and nonquantitative detection. The conventional single excitation coil and single detection coil (single coil-coil) generates divergent excitation magnetic field, resulting in different sensitivity of different object positions. PurposeTo improve the sensitivity and linearity of MIPS and object volume to realize quantitative detection, a novel sensor system was proposed. MethodsThe novel sensor system adopted uniform rotating magnetic field replacing the divergent magnetic field for the first time integrated with primary field cancellation. The uniform rotating magnetic field was generated by a birdcage coil excited by two orthogonal current; the primary field cancellation was realized by a specially arranged solenoid receiver coil installed co-axially with the birdcage coil detecting the z, not x and y-component of the secondary magnetic field. ResultsThe saltwater simulation experiment showed that MIPS changed high linearity with the injection volume of all four different conductivity solutions. The experimental results of rabbit cerebral hemorrhage (CH) revealed that with injected blood volume increased to 3 ml, the MIPS linearly decreased to -1.916 degrees, which was 5.5 times higher than that of the single coil-coil method. ConclusionCompared with the single coil-coil method, this novel detection system was more sensitive and linearly correlated for the detection of bleeding volume. It provided the probability of quantitative detection of the CH volume and a series of brain-content diseases.

The electroencephalographic (EEG) diagnosis of mild traumatic brain injury (mTBI) is not usually timely, and the detection is often performed several hours or days after the trauma, leading to a decrease in the accuracy of its detection. In this study, EEG signals are recorded immediately after mTBI by connecting a bipolar single lead to injured animals. And three types of EEG features, namely time domain, frequency domain, and nonlinear dynamics, are screened for optimal feature subset in mTBI detection. First, EEG signals of animals are recorded before and after establishing the animal model of mTBI. Second, signal preprocessing, feature extraction, and feature preprocessing are performed to obtain the full-feature dataset, and 1442 feature subsets are obtained by 15 feature reduction algorithms extracted from combinations of 47 features. Ultimately, the support vector machines and K-nearest neighbor algorithms are trained and tested respectively, and their performance is comprehensively compared to determine the optimal feature subset for mTBI detection. In the EEG dataset collected in this study, a total of eight feature subsets extracted from combinations of original 47 features and classification models with 100% accuracy are obtained. This study shows the perspective of immediately detecting mTBI based on a bipolar single-lead EEG.

Introduction: Current detection of intracerebral hemorrhage (ICH), whether employing Electrical Capacitance Tomography (ECT) or other electrical imaging techniques, rely on time-difference measurements. The time-difference methods necessitate baseline measurements from the patient in a non-hemorrhagic state, which is impractical to obtain, rendering rapid detection of ICH unfeasible.Methods: This study introduces a novel approach that capitalizes on the distinct dispersion characteristics of the permittivity in brain tissue and the spectral variance of the permittivity between blood and other brain components. Specifically, the frequency-dependent variations in the permittivity are employed to achieve absolute detection of ICH, thereby eliminating the need for non-hemorrhagic baseline data. The methodology entails identification of two frequency points that the frequency-dependent variation in the permittivity at these two frequency points manifest the maximal difference between blood and other brain tissues. Subsequently, this permittivity differential at the two identified frequency points is utilized for hemorrhage detection. Experimental measurements were conducted using an impedance analyzer and a parallel plate capacitor to capture the capacitance in four single-component substances—distilled water, sheep blood, isolated pig fat, and isolated pig brain—as well as three mixed blood compounds—distilled water enveloping sheep blood, pig fat encapsulating sheep blood, and pig brain surrounding sheep blood—across a frequency range of 10 kHz to 20 MHz.Results: The results show that in different frequency bands, it is indeed possible to distinguish single-component substances from mixed substances by the frequency difference of capacitance variation. Comparative analysis reveals that the 1 MHz to 5 MHz frequency range is most effective for detecting blood in distilled water. For blood detection in pig fat, a 10 kHz to 1 MHz frequency range is identified as optimal, while a 10 kHz to 0.5 MHz frequency range is advantageous for blood detection in pig brain tissue.Discussion: The findings confirm that absolute detection of ICH is achievable through frequency-dependent variations in the permittivity. However, this necessitates the identification of the frequency band manifesting the largest difference of frequency-dependent variation between single-component and mixed substances. The study acknowledges limitations primarily due to the use of anticoagulant-altered sheep blood, which exhibits permittivity divergent from those of natural blood. Additionally, the in vitro pig fat and pig brain samples, having been subjected to freeze-thaw cycles, also demonstrate permittivity unrepresentative of in vivo tissue.

Abstract Cerebrovascular autoregulation function is the mechanism ensuring the maintenance of constant cerebral blood flow by adjusting the caliber of cerebral vessels. It is important to have an effective noncontact tool for assessment and monitoring of the function in patients with acute ischemic stroke. The adjustment of intracranial arteriole caliber leads to changes in the conductivity of entire brain by relative changes in cerebral blood volume. Here, the electrical properties measurement of entire brain by magnetic induction phase shift with two contactless coils placed across the head is a valuable alternative to assess the function. Then, we proposed the correlation coefficient between spontaneous slow oscillations in arterial blood pressure and corresponding slow spontaneous oscillations in magnetic induction phase shift as a new index called conductivity reactivity index. The novel index is preliminarily confirmed the feasibility to monitor cerebrovascular autoregulation function after ischemic stroke on the animal experience. It has the potential to be used for noncontact, global, deep, bedside and real-time assessment of cerebrovascular autoregulation function of patients with cerebral ischemic stroke.

Intracranial hemorrhage (ICH) carrying extremely high morbidity and mortality can only be detected by CT, MRI and other large equipment, which do not meet the requirements for bedside continuous monitoring and pre-hospital first aid. Since the biological tissues have different dielectric properties except the pure resistances, and the permittivity of blood is far larger than that of other brain tissues, here a new method was used to detect events of change at the blood/tissue volume ratio by measuring of the head permittivity. In this paper, we use a self-made parallel plate capacitor to detect the intracranial hemorrhage in rabbits by contactless capacitance measurement. The sensitivity of the parallel-plate capacitor was also evaluated by the physical solution measurement. The results of physical experiments show that the capacitor can distinguish between three solutions with different permittivity, and the capacitance increased with the increase of one solution between two plates. At the next step in the animal experiment, the capacitance changes caused by 2 ml blood injection into the rabbit brain were measured. The results of animal experiments show that the capacitance was almost unchanged before and after the blood injection, but increased with the increase of the blood injection volume. The increase of capacitance caused by blood injection was much larger than that before and after blood injection (P <0.01). The experiments show that this method is feasible for the detection of intracranial hemorrhage in a non-invasive and contactless manner.

目的:为掌握人体组织电磁特性的变化,实现对真实人体结构电磁辐射特性的模拟和仿真计算.方法:在中国数字可视化人体数据集基础上,提出建立真实人体三维电磁模型的方法并利用CST STUDIO SUITE对其进行电磁仿真计算.结果:构建了适用于时域有限差分法计算的网格精度为1 mm3的三维人体头部电磁模型,满足频率为30 GHz以下的电磁仿真计算在数值色散空间离散间隔上的要求.结论:该模型具有很好的可视性和可操作性,对构建数字电磁人以及优化生物电磁检测技术具有重要的理论价值和实践指导意义.

The hemorrhagic and the ischemic types of stroke have similar symptoms in the early stage, but their treatments are completely different. The timely and effective discrimination of the two types of stroke can considerable improve the patients' prognosis. In this paper, a 16-channel and noncontact microwave-based stroke detection system was proposed and demonstrated for the potential differentiation of the hemorrhagic and the ischemic stroke. In animal experiments, 10 rabbits were divided into two groups. One group consisted of five cerebral hemorrhage models, and the other group consisted of five cerebral ischemia models. The two groups were monitored by the system to obtain the Euclidean distance transform value of microwave scattering parameters caused by pathological changes in the brain. The support vector machine was used to identify the type and the severity of the stroke. Based on the experiment, a discrimination accuracy of 96% between hemorrhage and ischemia stroke was achieved. Furthermore, the potential of monitoring the progress of intracerebral hemorrhage or ischemia was evaluated. The discrimination of different degrees of intracerebral hemorrhage achieved 86.7% accuracy, and the discrimination of different severities of ischemia achieved 94% accuracy. Compared with that with multiple channels, the discrimination accuracy of the stroke severity with a single channel was only 50% for the intracerebral hemorrhage and ischemia stroke. The study showed that the microwave-based stroke detection system can effectively distinguish between the cerebral hemorrhage and the cerebral ischemia models. This system is very promising for the prehospital identification of the stroke type due to its low cost, noninvasiveness, and ease of operation.

Background As a serious clinical disease, ischemic stroke is usually detected through magnetic resonance imaging and computed tomography. In this study, a noninvasive, non-contact, real-time continuous monitoring system was constructed on the basis of magnetic induction phase shift (MIPS) technology. The "thrombin induction method", which conformed to the clinical pathological development process of ischemic stroke, was used to construct an acute focal cerebral ischemia model of rabbits. In the MIPS measurement, a "symmetric cancellation-type" magnetic induction sensor was used to improve the sensitivity and antijamming capability of phase detection. Methods A 24-h MIPS monitoring experiment was carried out on 15 rabbits (10 in the experimental group and five in the control group). Brain tissues were taken from seven rabbits for the 2% triphenyl tetrazolium chloride staining and verification of the animal model. Results The nonparametric independent-sample Wilcoxon rank sum test showed significant differences (p < 0.05) between the experimental group and the control group in MIPS. Results showed that the rabbit MIPS presented a declining trend at first and then an increasing trend in the experimental group, which may reflect the pathological development process of cerebral ischemic stroke. Moreover, TTC staining results showed that the focal cerebral infarction area increased with the development of time Conclusions Our experimental study indicated that the MIPS technology has a potential ability of differentiating the development process of cytotoxic edema from that of vasogenic edema, both of which are caused by cerebral ischemia.

目的:定量研究家兔脑出血时脑脊液的变化过程,观察和阐述家兔脑出血时脑脊液的代偿机制.方法:基于MRI手段,运用自动图像处理技术,结合模糊聚类提取影像的灰度信息和马尔科夫随机场提取影像的空间信息的方法实现MRI影像的分割,并进一步实现对家兔脑出血时脑脊液变化过程的定量分析.结果:在家兔脑出血模型MRI观测实验中,脑脊液随着脑出血量增加而不断减少,同时观察到脑脊液代偿期的起始阶段及代偿末期.结论:提出的脑出血家兔脑脊液变化定量分析方法可实现对脑出血时脑脊液减少过程的定量观察,为研究脑出血时颅内病生理变化提供了有力手段.

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 S-21 above -30 dB is 1.2 - 3 GHz. In the animal experiment, the phase difference of Transmission coefficient S-21 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.

yy Intracranial hemorrhage (ICH), with extremely high morbidity and mortality, can only be detected by computed tomography (CT) and magnetic resonance imaging (MRI), which do not meet the requirements for bedside continuous monitoring and pre-hospital first aid. The magnetic induction method is a potential means of non-contact, non-invasive and continuous measurement of ICH. However, the current magnetic induction method measures the conductivity of the measured object. Because the conductivity of blood is only half that of cerebrospinal fluid (CSF) and the compensatory mechanism of CSF during hemorrhage, the sensitivity of measuring changes in intracranial conductivity to reflect the amount of bleeding is low. Since the permittivity of blood is far larger than that of other brain tissues, here a new method was used to determine the amounts of bleeding by measuring the head permittivity. The perturbed magnetic field produced by the measured head relative to the excitation magnetic field (Delta B/B) was measured using an excitation coil and a receiving coil. The real part of Delta B/B, which includes permittivity information, was used to reflect the amount of bleeding. First, three solutions of alcohol, distilled water and blood (60 ml each) were detected. Then the rabbit heads were measured during the intracerebral blood injection. The injection amount was 2 ml at the rate of 2 ml/12 min. The real part data were extracted and evaluated. The physical experiments showed the real parts ranked as blood > distilled water > alcohol, which was consistent with the ranking of known permittivity among the three solutions. The animal experiments indicated the real part data of each animal changed little without blood injection, but slowly declined with increasing amount of injection. The real parts changed in the same trends among the ten animals. Analysis suggested the changing amounts of the real part data without injection were significantly smaller than those during the injection (P < 0.05). The physical experiments confirm the real part of Delta B/B can differentiate the three solutions of alcohol, distilled water and blood. The animal experiment results also reveal the feasibility of using this method for intracranial hemorrhage measurement.

Closed cerebral hemorrhage (CCH) is a common symptom in traumatic brain injury (TBI) patients who suffer intracranial hemorrhage with the dura mater remaining intact. The diagnosis of CCH patients prior to hospitalization and in the early stage of the disease can help patients get earlier treatments that improve outcomes. In this study, a noncontact, portable system for early TBI-induced CCH detection was constructed that measures the magnetic induction phase shift (MIPS), which is associated with the mean brain conductivity caused by the ratio between the liquid (blood/CSF and the intracranial tissues) change. To evaluate the performance of this system, a rabbit CCH model with two severity levels was established based on the horizontal biological impactor BIM-II, whose feasibility was verified by computed tomography images of three sections and three serial slices. There were two groups involved in the experiments (group 1 with 10 TBI rabbits were simulated by hammer hit with air pressure of 600 kPa by BIM-II and group 2 with 10 TBI rabbits were simulated with 650 kPa). The MIPS values of the two groups were obtained within 30 min before and after injury. In group 1, the MIPS values showed a constant downward trend with a minimum value of −11.17 ± 2.91° at the 30th min after 600 kPa impact by BIM-II. After the 650 kPa impact, the MIPS values in group 2 showed a constant downward trend until the 25th min, with a minimum value of −16.81 ± 2.10°. Unlike group 1, the MIPS values showed an upward trend after that point. Before the injury, the MIPS values in both group 1 and group 2 did not obviously change within the 30 min measurement. Using a support vector machine at the same time point after injury, the classification accuracy of the two types of severity was shown to be beyond 90%. Combined with CCH pathological mechanisms, this system can not only achieve the detection of early functional changes in CCH but can also distinguish different severities of CCH.