Multifrequency Analysis of Single Inductive Coil Measurements Across a Gel Phantom Simulation of Internal Bleeding in the Brain

Oziel, Moshe; Hjouj, Mohammad; Rubinsky, Boris; Korenstein, Rafi

doi:10.1002/bem.22230

Cited by 8 publications

(6 citation statements)

References 25 publications

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“…The occurrence of bleeding was avoided as much as possible; only minor bleeding was caused during the insertion of the ICP detection probe, and no intervention treatment was carried out after freezing. Some reported studies have shown that intracranial hemorrhage can also cause changes in the ECPS [36][37][38]. It is related to changes in the composition and volume of intracranial contents, which is more complicated than ICP.…”

Section: Discussionmentioning

confidence: 99%

Noninvasive real-time assessment of intracranial pressure after traumatic brain injury based on electromagnetic coupling phase sensing technology

Zhao

et al. 2021

BMC Neurol

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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.

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Section: Discussionmentioning

confidence: 99%

Noninvasive real-time assessment of intracranial pressure after traumatic brain injury based on electromagnetic coupling phase sensing technology

Zhao

et al. 2021

BMC Neurol

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“…And good results were obtained in clinical experiments ( Kellner et al, 2018 ). In 2018 and 2019, Oziel and colleagues designed a single coil structure, using broadband measurement data to detect stroke, and achieved good results ( Oziel et al., 2020 ; Oziel, Korenstein & Rubinsky, 2019 ; Oziel, Korenstein & Rubinsky, 2020 ). In addition to EIT and MIT, microwave imaging has been used to detect stroke in recent years.…”

Section: Introductionmentioning

confidence: 99%

Research on the measurement of intracranial hemorrhage in rabbits by a parallel-plate capacitor

Zhuang

Chen

et al. 2021

PeerJ

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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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“…If the magnetic induction signals can provide hints at these two different stages of cerebral edema, this method may become a new indicator for early intervention. On the other hand, the latest research by Oziel et al also showed that the amplitude/phase change has an increase or decrease or even a non-linear trend with the injected blood volume at different measurement frequencies [ 51 – 54 ]. At present, some studies have begun to use multi-frequency data combined with specific algorithms.…”

Section: Introductionmentioning

confidence: 99%

An amplitude-based characteristic parameter extraction algorithm for cerebral edema detection based on electromagnetic induction

Liang

Zhao

et al. 2021

BioMed Eng OnLine

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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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Multifrequency Analysis of Single Inductive Coil Measurements Across a Gel Phantom Simulation of Internal Bleeding in the Brain

Cited by 8 publications

References 25 publications

Noninvasive real-time assessment of intracranial pressure after traumatic brain injury based on electromagnetic coupling phase sensing technology

Noninvasive real-time assessment of intracranial pressure after traumatic brain injury based on electromagnetic coupling phase sensing technology

Research on the measurement of intracranial hemorrhage in rabbits by a parallel-plate capacitor

An amplitude-based characteristic parameter extraction algorithm for cerebral edema detection based on electromagnetic induction

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