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A wearable microwav...
A wearable microwave instrument can detect and monitor traumatic abdominal injuries in a porcine model
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- Candefjord, Stefan, 1981 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
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- Nguyen, Linh (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Buendia, Ruben, 1982 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
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- Oropeza-Moe, Marianne (author)
- Norges miljø- og biovitenskapelige universitet (NMBU),Norwegian University of Life Sciences (NMBU)
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- Andersen, Nina Gjerde (author)
- Stavanger University Hospital
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- Fhager, Andreas, 1976 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
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- Persson, Mikael, 1959 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
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- Elam, Mikael, 1956 (author)
- Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
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- Oveland, Nils Petter (author)
- Stavanger University Hospital,Universitetet i Stavanger,University of Stavanger
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(creator_code:org_t)
- 2021-12-01
- 2021
- English.
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In: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322 .- 2045-2322. ; 11:1
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Abstract
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- Abdominal injury is a frequent cause of death for trauma patients, and early recognition is essential to limit fatalities. There is a need for a wearable sensor system for prehospital settings that can detect and monitor bleeding in the abdomen (hemoperitoneum). This study evaluates the potential for microwave technology to fill that gap. A simple prototype of a wearable microwave sensor was constructed using eight antennas. A realistic porcine model of hemoperitoneum was developed using anesthetized pigs. Ten animals were measured at healthy state and at two sizes of bleeding. Statistical tests and a machine learning method were used to evaluate blood detection sensitivity. All subjects presented similar changes due to accumulation of blood, which dampened the microwave signal (p< 0.05). The machine learning analysis yielded an area under the receiver operating characteristic (ROC) curve (AUC) of 0.93, showing 100% sensitivity at 90% specificity. Large inter-individual variability of the healthy state signal complicated differentiation of bleedings from healthy state. A wearable microwave instrument has potential for accurate detection and monitoring of hemoperitoneum, with automated analysis making the instrument easy-to-use. Future hardware development is necessary to suppress measurement system variability and enable detection of smaller bleedings.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk laboratorie- och mätteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Laboratory and Measurements Technologies (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Annan medicinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Other Medical Engineering (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi -- Biomedicinsk laboratorievetenskap/teknologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology -- Biomedical Laboratory Science/Technology (hsv//eng)
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Candefjord, Stef ...
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Nguyen, Linh
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Buendia, Ruben, ...
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Oropeza-Moe, Mar ...
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Andersen, Nina G ...
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Fhager, Andreas, ...
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Persson, Mikael, ...
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Elam, Mikael, 19 ...
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Oveland, Nils Pe ...
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Medical Engineer ...
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and Medical Laborato ...
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Medical Engineer ...
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and Other Medical En ...
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Medical Biotechn ...
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and Biomedical Labor ...
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Chalmers University of Technology