A wearable microwave instrument can detect and monitor traumatic abdominal injuries in a porcine model
Journal article, 2021

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.

Author

Stefan Candefjord

Vehicle and Traffic Safety Centre at Chalmers

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering

Sahlgrenska University Hospital

Linh Nguyen

Student at Chalmers

Ruben Buendia

Vehicle and Traffic Safety Centre at Chalmers

Sahlgrenska University Hospital

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering

Marianne Oropeza-Moe

Norwegian University of Life Sciences

Nina Gjerde Andersen

Stavanger University Hospital

Andreas Fhager

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering

Sahlgrenska University Hospital

Mikael Persson

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering

Sahlgrenska University Hospital

Mikael Elam

Sahlgrenska University Hospital

Nils Petter Oveland

Stavanger University Hospital

University of Stavanger

Scientific Reports

2045-2322 (ISSN)

Vol. 11 1 23220

Subject Categories

Medical Laboratory and Measurements Technologies

Other Medical Engineering

Biomedical Laboratory Science/Technology

DOI

10.1038/s41598-021-02008-5

PubMed

34853326

More information

Latest update

12/13/2021