Noninvasive real-time assessment of intracranial pressure after traumatic brain injury based on electromagnetic coupling phase sensing technology
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. M...
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doaj-01edeadee1194fba9e813c6040c090bc2021-01-24T12:22:00ZengBMCBMC Neurology1471-23772021-01-0121111110.1186/s12883-021-02049-3Noninvasive real-time assessment of intracranial pressure after traumatic brain injury based on electromagnetic coupling phase sensing technologyGen Li0Wang Li1Jingbo Chen2Shuanglin Zhao3Zelin Bai4Qi Liu5Qi Liao6Minglian He7Wei Zhuang8Mingsheng Chen9Jian Sun10Yujie Chen11Department of Biomedical Engineering, School of Pharmacy and Bioengineering, Chongqing University of TechnologyDepartment of Biomedical Engineering, School of Pharmacy and Bioengineering, Chongqing University of TechnologyDepartment of Biomedical Engineering, Army Medical UniversityDepartment of Biomedical Engineering, Army Medical UniversityDepartment of Biomedical Engineering, Army Medical UniversityDepartment of Biomedical Engineering, School of Pharmacy and Bioengineering, Chongqing University of TechnologyDepartment of Biomedical Engineering, School of Pharmacy and Bioengineering, Chongqing University of TechnologyDepartment of Neurosurgery, Southwest Hospital, Army Medical UniversityDepartment of Biomedical Engineering, Army Medical UniversityDepartment of Biomedical Engineering, Army Medical UniversityDepartment of Biomedical Engineering, Army Medical UniversityDepartment of Neurosurgery, Southwest Hospital, Army Medical UniversityAbstract 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.https://doi.org/10.1186/s12883-021-02049-3Electromagnetic coupling phase sensingTraumatic brain injuryIntracranial pressureClassification decision algorithmNoninvasive monitor |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gen Li Wang Li Jingbo Chen Shuanglin Zhao Zelin Bai Qi Liu Qi Liao Minglian He Wei Zhuang Mingsheng Chen Jian Sun Yujie Chen |
spellingShingle |
Gen Li Wang Li Jingbo Chen Shuanglin Zhao Zelin Bai Qi Liu Qi Liao Minglian He Wei Zhuang Mingsheng Chen Jian Sun Yujie Chen Noninvasive real-time assessment of intracranial pressure after traumatic brain injury based on electromagnetic coupling phase sensing technology BMC Neurology Electromagnetic coupling phase sensing Traumatic brain injury Intracranial pressure Classification decision algorithm Noninvasive monitor |
author_facet |
Gen Li Wang Li Jingbo Chen Shuanglin Zhao Zelin Bai Qi Liu Qi Liao Minglian He Wei Zhuang Mingsheng Chen Jian Sun Yujie Chen |
author_sort |
Gen Li |
title |
Noninvasive real-time assessment of intracranial pressure after traumatic brain injury based on electromagnetic coupling phase sensing technology |
title_short |
Noninvasive real-time assessment of intracranial pressure after traumatic brain injury based on electromagnetic coupling phase sensing technology |
title_full |
Noninvasive real-time assessment of intracranial pressure after traumatic brain injury based on electromagnetic coupling phase sensing technology |
title_fullStr |
Noninvasive real-time assessment of intracranial pressure after traumatic brain injury based on electromagnetic coupling phase sensing technology |
title_full_unstemmed |
Noninvasive real-time assessment of intracranial pressure after traumatic brain injury based on electromagnetic coupling phase sensing technology |
title_sort |
noninvasive real-time assessment of intracranial pressure after traumatic brain injury based on electromagnetic coupling phase sensing technology |
publisher |
BMC |
series |
BMC Neurology |
issn |
1471-2377 |
publishDate |
2021-01-01 |
description |
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. |
topic |
Electromagnetic coupling phase sensing Traumatic brain injury Intracranial pressure Classification decision algorithm Noninvasive monitor |
url |
https://doi.org/10.1186/s12883-021-02049-3 |
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