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刘 捷, 闫 炼, 秦 明, 张 海, 陈 明. [Magnetic induced phase shift detection system based on a novel sensor for cerebral hemorrhage]. SHENG WU YI XUE GONG CHENG XUE ZA ZHI = JOURNAL OF BIOMEDICAL ENGINEERING = SHENGWU YIXUE GONGCHENGXUE ZAZHI 2024; 41:455-460. [PMID: 38932530 PMCID: PMC11208648 DOI: 10.7507/1001-5515.202305048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 05/13/2024] [Indexed: 06/28/2024]
Abstract
The main magnetic field, generated by the excitation coil of the magnetic induction phase shift technology detection system, is mostly dispersed field with small field strength, and the offset effect needs to be further improved, which makes the detection signal weak and the detection system difficult to achieve quantitative detection, thus the technology is rarely used in vivo experiments and clinical trials. In order to improve problems mentioned above, a new Helmholtz birdcage sensor was designed. Stimulation experiment was carried out to analyze the main magnetic field in aspects of intensity and magnetic distribution, then different bleeding volume and bleeding rates experiments were conducted to compared with traditional sensors. The results showed that magnetic field intensity in detection region was 2.5 times than that of traditional sensors, cancellation effect of the main magnetic field was achieved, the mean value of phase difference of 10 mL rabbit blood was (-3.34 ± 0.21)°, and exponential fitting adjusted R 2 between phase difference and bleeding volumes and bleeding rates were both 0.99. The proposed Helmholtz birdcage sensor has a uniform magnetic field with a higher field strength, enable more accurate quantification of hemorrhage and monitored change of bleeding rates, providing significance in magnetic induced technology research for cerebral hemorrhage detection.
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Affiliation(s)
- 捷 刘
- 陆军军医大学 生物医学工程与影像医学系(重庆 400038)Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing 400038, P. R. China
| | - 炼 闫
- 陆军军医大学 生物医学工程与影像医学系(重庆 400038)Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing 400038, P. R. China
| | - 明新 秦
- 陆军军医大学 生物医学工程与影像医学系(重庆 400038)Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing 400038, P. R. China
| | - 海生 张
- 陆军军医大学 生物医学工程与影像医学系(重庆 400038)Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing 400038, P. R. China
| | - 明生 陈
- 陆军军医大学 生物医学工程与影像医学系(重庆 400038)Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing 400038, P. R. China
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Xu J, Li H, Jin G, Zhuang W, Bai Z, Sun J, Chen M, Wang F, Yang X, Qin M. Conductivity reactivity index for monitoring of cerebrovascular autoregulation in early cerebral ischemic rabbits. Biomed Eng Online 2023; 22:78. [PMID: 37559130 PMCID: PMC10410901 DOI: 10.1186/s12938-023-01142-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 07/27/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND 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. METHODS 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. RESULTS 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% and 20%, respectively, and the area under the ROC curve of CRx was 0.835 (SE = 0.084). CONCLUSION The animal experimental results preliminarily demonstrated that the CRx can be used to monitor CVAR and identify CVAR injury in early ischemic conditions. The CRx has the potential to be used for contactless, global, bedside, and real-time assessment of CVAR of patients with ischemic stroke.
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Affiliation(s)
- Jia Xu
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Haocheng Li
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
- Department of Medical Engineering, General Hospital of Central Theater Command, Wuhan, China
| | - Gui Jin
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Wei Zhuang
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Zelin Bai
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Jian Sun
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Mingsheng Chen
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Feng Wang
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xu Yang
- Department of Medical Service, General Hospital of Central Theater Command, Wuhan, China
| | - Mingxin Qin
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China.
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Chen R, Li D, Zhao S, Zhang Y, Wang H, Wu Y. Simulation of dynamic monitoring for intracerebral hemorrhage based on magnetic induction phase shift technology. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2023; 94:064101. [PMID: 37862492 DOI: 10.1063/5.0107788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 05/18/2023] [Indexed: 10/22/2023]
Abstract
Intracerebral hemorrhage (ICH) is a common and severe brain disease associated with high mortality and morbidity. Accurate measurement of the ICH area is an essential indicator for doctors to determine whether a surgical operation is necessary. However, although currently used clinical detection methods, such as computed tomography (CT) and magnetic resonance imaging (MRI), provide high-quality images, they may have limitations such as high costs, large equipment size, and radiation exposure to the human body in the case of CT. It makes long-term bedside monitoring infeasible. This paper presents a dynamic monitoring method for ICH areas based on magnetic induction. This study investigates the influence of the bleeding area and the position of ICH on the phase difference at the detection point near the area to be measured. The study applies a neural network algorithm to predict the bleeding area using the phase difference data received by the detection coil as the network input and the bleeding area as the network output. The relative error between the predicted and actual values of the neural network is calculated, and the error of each group of data is less than 4%, which confirms the feasibility of this method for detecting and even trend monitoring of the ICH area.
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Affiliation(s)
- Ruijuan Chen
- School of Life Sciences, TianGong University, Tianjin 300387, China
| | - Dandan Li
- School of Electrical and Information Engineering, TianGong University, Tianjin 300387, China
| | - Songsong Zhao
- School of Life Sciences, TianGong University, Tianjin 300387, China
| | - Yuanxin Zhang
- School of Life Sciences, TianGong University, Tianjin 300387, China
| | - Huiquan Wang
- School of Life Sciences, TianGong University, Tianjin 300387, China
| | - Yifan Wu
- School of Life Sciences, TianGong University, Tianjin 300387, China
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Li G, Yin S, Jian M, Chen J, Zeng L, Bai Z, Zhuang W, Xu B, He S, Sun J, Chen Y. Early assessment of acute ischemic stroke in rabbits based on multi-parameter near-field coupling sensing. Biomed Eng Online 2022; 21:20. [PMID: 35346206 PMCID: PMC8962490 DOI: 10.1186/s12938-022-00991-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 03/17/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Early diagnosis and continuous monitoring are the key to emergency treatment and intensive care of patients with acute ischemic stroke (AIS). Nevertheless, there has not been a fully accepted method targeting continuous assessment of AIS in clinical. METHODS Near-field coupling (NFC) sensing can obtain the conductivity related to the volume of intracranial components with advantages of non-invasiveness, strong penetrability and real-time monitoring. In this work, we built a multi-parameter monitoring system that is able to measure changes of phase and amplitude in the process of electromagnetic wave (EW) reflection and transmission. For investigating its feasibility in AIS detection, 16 rabbits were chosen to establish AIS models by bilateral common carotid artery ligation and then were enrolled for monitoring experiments. RESULTS During the 6 h after AIS, the reflection amplitude (RA) shows a decline trend with a range of 0.69 dB and reflection phase (RP) has an increased variation of 6.48° . Meanwhile, transmission amplitude (TA) and transmission phase (TP) decrease 2.14 dB and 24.29° , respectively. The statistical analysis illustrates that before ligation, 3 h after ligation and 6 h after ligation can be effectively distinguished by the four parameters individually. When all those parameters are regarded as recognition features in back propagation (BP) network, the classification accuracy of the three different periods reaches almost 100%. CONCLUSION These results prove the feasibility of multi-parameter NFC sensing to assess AIS, which is promised to become an outstanding point-of-care testing method in the future.
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Affiliation(s)
- Gen Li
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China
| | - Shengtong Yin
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China
| | - Man Jian
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China
| | - Jingbo Chen
- College of Biomedical Engineering, Army Medical University, Chongqing, China
| | - Lingxi Zeng
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China
| | - Zelin Bai
- College of Biomedical Engineering, Army Medical University, Chongqing, China
| | - Wei Zhuang
- College of Biomedical Engineering, Army Medical University, Chongqing, China
| | - Bingxin Xu
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China
| | - Shengjie He
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China
| | - Jian Sun
- College of Biomedical Engineering, Army Medical University, Chongqing, China.
| | - Yujie Chen
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing, China.
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Chen J, Li G, Liang H, Zhao S, Sun J, Qin M. An amplitude-based characteristic parameter extraction algorithm for cerebral edema detection based on electromagnetic induction. Biomed Eng Online 2021; 20:74. [PMID: 34344370 PMCID: PMC8335876 DOI: 10.1186/s12938-021-00913-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 07/26/2021] [Indexed: 11/10/2022] Open
Abstract
Background Cerebral edema is a common condition secondary to any type of neurological injury. The early diagnosis and monitoring of cerebral edema is of great importance to improve the prognosis. In this article, a flexible conformal electromagnetic two-coil sensor was employed as the electromagnetic induction sensor, associated with a vector network analyzer (VNA) for signal generation and receiving. Measurement of amplitude data over the frequency range of 1–100 MHz is conducted to evaluate the changes in cerebral edema. We proposed an Amplitude-based Characteristic Parameter Extraction (Ab-CPE) algorithm for multi-frequency characteristic analysis over the frequency range of 1–100 MHz and investigated its performance in electromagnetic induction-based cerebral edema detection and distinction of its acute/chronic phase. Fourteen rabbits were enrolled to establish cerebral edema model and the 24 h real-time monitoring experiments were carried out for algorithm verification. Results The proposed Ab-CPE algorithm was able to detect cerebral edema with a sensitivity of 94.1% and specificity of 95.4%. Also, in the early stage, it can detect cerebral edema with a sensitivity of 85.0% and specificity of 87.5%. Moreover, the Ab-CPE algorithm was able to distinguish between acute and chronic phase of cerebral edema with a sensitivity of 85.0% and specificity of 91.0%. Conclusion The proposed Ab-CPE algorithm is suitable for multi-frequency characteristic analysis. Combined with this algorithm, the electromagnetic induction method has an excellent performance on the detection and monitoring of cerebral edema.
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Affiliation(s)
- Jingbo Chen
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Gen Li
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China.
| | - Huayou Liang
- China Aerodynamics Research and Development Center Low Speed Aerodynamic Institute, Mianyang, Sichuan, China
| | - Shuanglin Zhao
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Jian Sun
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Mingxin Qin
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China.
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