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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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Bai Z, Li H, Chen J, Zhuang W, Li G, Chen M, Xu J, Zhao S, Liu Y, Sun J, Wang F, Xu L, Qin M, Jin G. Research on the measurement of intracranial hemorrhage in rabbits by a parallel-plate capacitor. PeerJ 2021; 9:e10583. [PMID: 33505798 PMCID: PMC7792518 DOI: 10.7717/peerj.10583] [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: 07/10/2020] [Accepted: 11/24/2020] [Indexed: 11/20/2022] Open
Abstract
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.
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Affiliation(s)
- Zelin Bai
- 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
| | - Jingbo Chen
- 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
| | - Gen Li
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China
| | - Mingsheng Chen
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Jia Xu
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Shuanglin Zhao
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yuening Liu
- 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
| | - Feng Wang
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Lin Xu
- 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
| | - Gui Jin
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
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Li G, Li W, Chen J, Zhao S, Bai Z, Liu Q, Liao Q, He M, Zhuang W, Chen M, Sun J, Chen Y. Noninvasive real-time assessment of intracranial pressure after traumatic brain injury based on electromagnetic coupling phase sensing technology. BMC Neurol 2021; 21:26. [PMID: 33455585 PMCID: PMC7812649 DOI: 10.1186/s12883-021-02049-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 01/07/2021] [Indexed: 12/16/2022] Open
Abstract
Background To investigate the feasibility of intracranial pressure (ICP) monitoring after traumatic brain injury (TBI) by electromagnetic coupling phase sensing, we established a portable electromagnetic coupling phase shift (ECPS) test system and conducted a comparison with invasive ICP. Methods TBI rabbits’ model were all synchronously monitored for 24 h by ECPS testing and invasive ICP. We investigated the abilities of the ECPS to detect targeted ICP by feature extraction and traditional classification decision algorithms. Results The ECPS showed an overall downward trend with a variation range of − 13.370 ± 2.245° as ICP rose from 11.450 ± 0.510 mmHg to 38.750 ± 4.064 mmHg, but its change rate gradually declined. It was greater than 1.5°/h during the first 6 h, then decreased to 0.5°/h and finally reached the minimum of 0.14°/h. Nonlinear regression analysis results illustrated that both the ECPS and its change rate decrease with increasing ICP post-TBI. When used as a recognition feature, the ability (area under the receiver operating characteristic curve, AUCs) of the ECPS to detect ICP ≥ 20 mmHg was 0.88 ± 0.01 based on the optimized adaptive boosting model, reaching the advanced level of current noninvasive ICP assessment methods. Conclusions The ECPS has the potential to be used for noninvasive continuous monitoring of elevated ICP post-TBI. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-021-02049-3.
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Affiliation(s)
- Gen Li
- Department of Biomedical Engineering, School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China.,Department of Biomedical Engineering, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Wang Li
- Department of Biomedical Engineering, School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China
| | - Jingbo Chen
- Department of Biomedical Engineering, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Shuanglin Zhao
- Department of Biomedical Engineering, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Zelin Bai
- Department of Biomedical Engineering, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Qi Liu
- Department of Biomedical Engineering, School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China
| | - Qi Liao
- Department of Biomedical Engineering, School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China
| | - Minglian He
- Department of Neurosurgery, Southwest Hospital, Army Medical University, 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.,State Key Laboratory of Trauma, Burn and Combined Injury, Army Medical University, Chongqing, China.,Chongqing Key Laboratory of Precision Neuromedicine and Neuroregenaration, Army Medical University, Chongqing, China
| | - Wei Zhuang
- Department of Biomedical Engineering, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Mingsheng Chen
- Department of Biomedical Engineering, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Jian Sun
- Department of Biomedical Engineering, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. .,Department of Neurosurgery, Southwest Hospital, Army Medical University, 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. .,State Key Laboratory of Trauma, Burn and Combined Injury, Army Medical University, Chongqing, China. .,Chongqing Key Laboratory of Precision Neuromedicine and Neuroregenaration, Army Medical University, Chongqing, China.
| | - Yujie Chen
- Department of Neurosurgery, Southwest Hospital, Army Medical University, 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. .,State Key Laboratory of Trauma, Burn and Combined Injury, Army Medical University, Chongqing, China. .,Chongqing Key Laboratory of Precision Neuromedicine and Neuroregenaration, Army Medical University, Chongqing, China.
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Oziel M, Rubinsky B, Korenstein R. Detection and estimating the blood accumulation volume of brain hemorrhage in a human anatomical skull using a RF single coil. PeerJ 2020; 8:e10416. [PMID: 33354419 PMCID: PMC7733650 DOI: 10.7717/peerj.10416] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 11/02/2020] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVE An experimental study for testing a simple robust algorithm on data derived from an electromagnetic radiation device that can detect small changes in the tissue/fluid ratio in a realistic head configuration. METHODS Changes in the scattering parameters (S21) of an inductive coil resulting from injections of chicken blood in the 0-18 ml range into calf brain tissue in a human anatomical skull were measured over a 100-1,000 MHz frequency range. RESULTS An algorithm that combines amplitude and phase results was found to detect changes in the tissue/fluid ratio with 90% accuracy. An algorithm that estimated the injected blood volume was found to have a 1-4 ml average error. This demonstrates the possibility of the inductive coil-based device to possess a practical ability to detect a change in the tissue/fluid ratio in the head. SIGNIFICANCE This study is an important step towards the goal of building an inexpensive and safe device that can detect an early brain hemorrhagic stroke.
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Affiliation(s)
- Moshe Oziel
- Department of Physiology and Pharmacology, Tel-Aviv University, Tel-Aviv, Israel
| | - Boris Rubinsky
- Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA, USA
| | - Rafi Korenstein
- Department of Physiology and Pharmacology, Tel-Aviv University, Tel-Aviv, Israel
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Chen J, Li G, Chen M, Jin G, Zhao S, Bai Z, Yang J, Liang H, Xu J, Sun J, Qin M. A noninvasive flexible conformal sensor for accurate real-time monitoring of local cerebral edema based on electromagnetic induction. PeerJ 2020; 8:e10079. [PMID: 33083136 PMCID: PMC7546241 DOI: 10.7717/peerj.10079] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 09/11/2020] [Indexed: 12/24/2022] Open
Abstract
Cerebral edema (CE) is a non-specific pathological swelling of the brain secondary to any type of neurological injury. The real-time monitoring of focal CE mostly found in early stage is of great significance to reduce mortality and disability. Magnetic Induction Phase Shift (MIPS) is expected to achieve non-invasive continuous monitoring of CE. However, most existing MIPS sensors are made of hard materials which makes it difficult to accurately retrieve CE information. In this article, we designed a conformal two-coil structure and a single-coil structure, and studied their sensitivity map using finite element method (FEM). After that, the conformal MIPS sensor that is preferable for local CE monitoring was fabricated by flexible printed circuit (FPC). Next, physical experiments were conducted to investigate its performance on different levels of simulated CE solution volume, measurement distance, and bending. Subsequently, 14 rabbits were chosen to establish CE model and another three rabbits were selected as controls. The 24-hour MIPS real-time monitoring experiments was carried out to verify that the feasibility. Results showed a gentler attenuation trend of the conformal two-coil structure, compared with the single-coil structure. In addition, the novel flexible conformal MIPS sensor has a characteristic of being robust to bending according to the physical experiments. The results of animal experiments showed that the sensor can be used for CE monitoring. It can be concluded that this flexible conformal MIPS sensor is desirable for local focusing measurement of CE and subsequent multidimensional information extraction for predicting model. Also, it enables a much more comfortable environment for long-time bedside monitoring.
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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
| | - Mingsheng Chen
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Gui Jin
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Shuanglin Zhao
- 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
| | - Jun Yang
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
| | - Huayou Liang
- China Aerodynamics Research and Development Center Low Speed Aerodynamic Institute, Mianyang, China
| | - Jia Xu
- 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.,Department of Neurosurgery, Southwest Hospital, Chongqing, China
| | - Mingxin Qin
- College of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, China
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