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Sökning: id:"swepub:oai:research.chalmers.se:d6863f34-3a02-43f2-9e8c-ab946853523b" > Microwave technolog...

Microwave technology for detecting traumatic intracranial bleedings: tests on phantom of subdural hematoma and numerical simulations

Candefjord, Stefan, 1981 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
WINGES, JOHAN, 1987 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
Ahmad, Malik Ahzaz, 1985 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
visa fler...
Yu, Yinan, 1985 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
Rylander, Thomas, 1972 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
McKelvey, Tomas, 1966 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
Fhager, Andreas, 1976 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
Elam, Mikael, 1956 (författare)
Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
Persson, Mikael, 1959 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
visa färre...
 (creator_code:org_t)
2016-10-13
2017
Engelska.
Ingår i: Medical and Biological Engineering and Computing. - : Springer Science and Business Media LLC. - 1741-0444 .- 0140-0118. ; 55:8, s. 1177-1188
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • 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.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)

Nyckelord

Traumatic brain injury
Intracranial bleedings
Microwave technology
Subdural hematoma phantom
Finite element method

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