Bioimpedance technology for detection of thoracic injury
Journal article, 2017

Objective: Thoracic trauma is one of the most common and lethal types of injury, causing over a quarter of traumatic deaths. Severe thoracic injuries are often occult and difficult to diagnose in the field. There is a need for a point-of-care diagnostic device for severe thoracic injuries in the prehospital setting. Electrical bioimpedance (EBI) is non-invasive, portable, rapid and easy to use technology that can provide objective and quantitative diagnostic information for the prehospital environment. Here, we evaluated the performance of EBI to detect thoracic injuries. Approach: In this open study, EBI resistance (R), reactance (X) and phase angle (PA) of both sides of the thorax were measured at 50 kHz on patients suffering from thoracic injuries (n = 20). In parallel, a control group consisting of healthy subjects (n = 20) was recruited. A diagnostic mathematical algorithm, fed with input parameters derived from EBI data, was designed to differentiate patients from healthy controls. Main results: Ratios between the X and PA measurements of both sides of the thorax were significantly different (p < 0.05) between healthy volunteers and patients with left-and right-sided injuries. The diagnostic algorithm achieved a performance evaluated by leave-one-out cross-validation analysis and derived area under the receiver operating characteristic curve of 0.88. Significance: A diagnostic algorithm that accurately discriminates between patients suffering thoracic injuries and healthy subjects was designed using EBI technology. A larger, prospective and blinded study is thus warranted to validate the feasibility of EBI technology as a prehospital tool.

trauma

diagnostics

thoracic injuries

injury prevention

prehospital care

bioimpedance

Author

Ruben Buendia

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Chalmers, Vehicle and Traffic Safety Centre at Chalmers (SAFER)

Stefan Candefjord

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Chalmers, Vehicle and Traffic Safety Centre at Chalmers (SAFER)

B. Sanchez

Hans Granhed

Bengt-Arne Sjöqvist

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Chalmers, Vehicle and Traffic Safety Centre at Chalmers (SAFER)

Per Örtenwall

Eva Corina Caragounis

Physiological Measurement

0967-3334 (ISSN) 13616579 (eISSN)

Vol. 38 11 2000-2014

Subject Categories

Medical Laboratory and Measurements Technologies

DOI

10.1088/1361-6579/aa8de2

PubMed

28930098

More information

Created

11/22/2017