A non-invasive intracranial hemorrhage detection system based on electromagnetic induction.

Qi Wang, Ruiqiang Zheng, Rongguo Yan, Xiyun Zeng, Yunhao Hu

Abstract read

In one paragraph

Article in Medical & biological engineering & computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qi Wang *School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.ORCID http://orcid.org/0009-0009-1148-9837

Ruiqiang Zheng *Department of Critical Care Medicine, Northern Jiangsu People's Hospital, Jiangsu, 210024, China.

Rongguo YanSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China. yanrongguo@usst.edu.cn.

Xiyun ZengSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.

Yunhao HuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.

Funding

Shanghai Engineering Research Center of Interventional Medical Device no.18DZ2250900

6 · The paper itself

Abstract

Rapid, non-invasive detection of intracranial hemorrhage at the point of care is crucial for improving patient outcomes after head trauma. To overcome the limitations of bulky and expensive gold-standard imaging systems like CT and MRI, this study introduces a portable detection system based on electromagnetic induction. The core of our method is a simplified single-coil sensor that detects hemorrhage-induced changes in tissue conductivity by monitoring variations in coil impedance, facilitated by a high-precision inductance-to-digital converter (LDC1101). We rigorously evaluated the system through electromagnetic simulation, customized coil design, hardware implementation, and software development featuring an RGB localization algorithm. Experiments using a 3D-printed head phantom demonstrated that the system effectively distinguishes simulated ICH lesions (30 mL NaCl solution) from normal brain tissue and successfully localizes the hemorrhage. This work establishes a novel and practical technological pathway for developing portable, low-cost ICH monitoring devices suitable for bedside and point-of-care applications.

Indexed as

Electromagnetic PhenomenaIntracranial HemorrhagesAlgorithmsEquipment DesignHumansMagnetic Resonance ImagingPhantoms, ImagingPoint-of-Care SystemsElectromagnetic phenomenaIntracranial hemorrhagesPhysiological monitoringPortable medical devices

Identifiers

PMID42565956

DOI10.1007/s11517-026-03642-9

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.