Skull fracture detection for point-of-care diagnostics using microwave technique Article Swipe

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Mariella Särestöniemi , Daljeet Singh , Jarmo Reponen , Mikael von und zu Fraunberg , Teemu Myllylä ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.23996/fjhw.155481

The possibility to detect severity of skull fractures outside the hospital already in the accident location would be a promising eHealth application. Such a point-of-care type of device would smoothen the patients’ path to the treatment after the accident. Additionally, frequent and safe monitoring of the healing process of skull fractures in smaller healthcare centers, as a new telemedicine solution, would enable early detection of potential problems. Microwave technique has shown significant potential for portable monitoring devices since it enables safe, low-cost, and high accuracy detectors. This paper has three research objectives: (1) to investigate the potential of microwave techniques for detecting common skull fracture types using antennas embedded in a small, portable monitoring device, (2) to evaluate optimal frequency ranges for skull fracture detection, and (3) to examine the impact of scalp thickness on fracture detectability. The research is carried out using electromagnetic simulation software with human head models resembling different scalp thicknesses and flexible antennas operating at 2.5–10 GHz. In the evaluations, scattering parameters are analyzed with the head models both with and without the fractures. The evaluation results show that different types of skull fractures can be detected with microwave technique. Fractures cause differences in scattering parameters ranging from 2 dB to 12 dB, depending on the type of fracture. The most optimal frequency ranges for detection are 3–5 GHz and 9 GHz. The thickness of the scalp impacts the detectability of skull fractures, yet fractures remain detectable even with the model with thicker scalp. These findings support the potential of microwave technique for developing portable, point-of-care devices for timely and precise skull fracture pre-diagnosis and frequent monitoring of the healing process. This approach particularly benefits young children, for whom conventional screening methods may pose more significant challenges.

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Biomedical Engineering

Concepts

Skull Fracture (geology) Point of care Point (geometry) Materials science Medicine Computer science Biomedical engineering Pathology Composite material Surgery Mathematics Geometry

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Type: article
Language: en
Landing Page: https://doi.org/10.23996/fjhw.155481
PDF: https://journal.fi/finjehew/article/download/155481/104362
OA Status: diamond
Cited By: 1
Related Works: 10
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DOI: https://doi.org/10.23996/fjhw.155481

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Title: Skull fracture detection for point-of-care diagnostics using microwave technique

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-04-08

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Authors: Mariella Särestöniemi, Daljeet Singh, Jarmo Reponen, Mikael von und zu Fraunberg, Teemu Myllylä

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Landing page: https://doi.org/10.23996/fjhw.155481

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PDF URL: https://journal.fi/finjehew/article/download/155481/104362

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Concepts: Skull, Fracture (geology), Point of care, Point (geometry), Materials science, Medicine, Computer science, Biomedical engineering, Pathology, Composite material, Surgery, Mathematics, Geometry

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Cited by: 1

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abstract_inverted_index.potential	65, 72, 96, 252
abstract_inverted_index.problems.	66
abstract_inverted_index.promising	19
abstract_inverted_index.screening	284
abstract_inverted_index.solution,	59
abstract_inverted_index.technique	68, 255
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abstract_inverted_index.treatment	35
abstract_inverted_index.detectable	240
abstract_inverted_index.detection,	124
abstract_inverted_index.detectors.	85
abstract_inverted_index.developing	257
abstract_inverted_index.evaluation	179
abstract_inverted_index.fractures,	236
abstract_inverted_index.fractures.	177
abstract_inverted_index.healthcare	53
abstract_inverted_index.monitoring	43, 75, 113, 270
abstract_inverted_index.parameters	165, 199
abstract_inverted_index.resembling	150
abstract_inverted_index.scattering	164, 198
abstract_inverted_index.simulation	144
abstract_inverted_index.technique.	193
abstract_inverted_index.techniques	99
abstract_inverted_index.challenges.	290
abstract_inverted_index.differences	196
abstract_inverted_index.investigate	94
abstract_inverted_index.objectives:	91
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abstract_inverted_index.possibility	1
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abstract_inverted_index.thicknesses	153
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abstract_inverted_index.conventional	283
abstract_inverted_index.evaluations,	163
abstract_inverted_index.particularly	277
abstract_inverted_index.telemedicine	58
abstract_inverted_index.Additionally,	39
abstract_inverted_index.detectability	233
abstract_inverted_index.point-of-care	24, 259
abstract_inverted_index.pre-diagnosis	267
abstract_inverted_index.detectability.	136
abstract_inverted_index.electromagnetic	143
cited_by_percentile_year.max	95
cited_by_percentile_year.min	91
countries_distinct_count	0
institutions_distinct_count	5
citation_normalized_percentile.value	0.85004431
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	True