Microwave technology for detecting traumatic intracranial bleedings: tests on phantom of subdural hematoma and numerical simulations
Artikel i vetenskaplig tidskrift, 2017

Traumatic brain injury is the leading cause of death and severe disability for young people and a major public health problem for elderly. Many patients with intracranial bleeding are treated too late, because they initially show no symptoms of severe injury and are not transported to a trauma center. There is a need for a method to detect intracranial bleedings in the prehospital setting. In this study, we investigate whether broadband microwave technology (MWT) in conjunction with a diagnostic algorithm can detect subdural hematoma (SDH). A human cranium phantom and numerical simulations of SDH are used. Four phantoms with SDH 0, 40, 70 and 110 mL are measured with a MWT instrument. The simulated dataset consists of 1500 observations. Classification accuracy is assessed using fivefold cross-validation, and a validation dataset never used for training. The total accuracy is 100 and 82–96 % for phantom measurements and simulated data, respectively. Sensitivity and specificity for bleeding detection were 100 and 96 %, respectively, for the simulated data. SDH of different sizes is differentiated. The classifier requires training dataset size in order of 150 observations per class to achieve high accuracy. We conclude that the results indicate that MWT can detect and estimate the size of SDH. This is promising for developing MWT to be used for prehospital diagnosis of intracranial bleedings.

Intracranial bleedings

Traumatic brain injury

Finite element method

Subdural hematoma phantom

Microwave technology

Författare

Stefan Candefjord

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Biomedicinsk elektromagnetik

JOHAN WINGES

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Malik Ahzaz Ahmad

Unknown organization

Yinan Yu

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Thomas Rylander

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Tomas McKelvey

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Andreas Fhager

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Biomedicinsk elektromagnetik

Mikael Elam

Sahlgrenska universitetssjukhuset

Mikael Persson

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Biomedicinsk elektromagnetik

Medical and Biological Engineering and Computing

0140-0118 (ISSN)

Vol. 55 1177-1188

Fundament

Grundläggande vetenskaper

Infrastruktur

C3SE (Chalmers Centre for Computational Science and Engineering)

Styrkeområden

Livsvetenskaper och teknik

Ämneskategorier

Elektroteknik och elektronik

Signalbehandling

DOI

10.1007/s11517-016-1578-6