Bioimpedance technology for detection of thoracic injury

被引:8
作者
Buendia, Ruben [1 ,2 ,3 ,4 ]
Candefjord, Stefan [1 ,2 ,3 ]
Sanchez, Benjamin [5 ]
Granhed, Hans [6 ]
Sjoqvist, Bengt-Arne [1 ,2 ,3 ,6 ]
Ortenwall, Per
Caragounis, Eva-Corina [6 ]
机构
[1] Chalmers Univ Technol, Dept Elect Engn, Gothenburg, Sweden
[2] Sahlgrens Univ Hosp, MedTech West, Gothenburg, Sweden
[3] Chalmers, SAFER Vehicle & Traff Safety Ctr, Gothenburg, Sweden
[4] Univ Boras, Dept Informat Technol, Boras, Sweden
[5] Harvard Med Sch, Dept Neurol, Beth Israel Deaconess Med Ctr, Boston, MA USA
[6] Univ Gothenburg, Sahlgrenska Acad, Inst Clin Sci, Dept Surg, Gothenburg, Sweden
关键词
bioimpedance; thoracic injuries; prehospital care; diagnostics; trauma; injury prevention; BIOELECTRICAL-IMPEDANCE; LOCALIZED BIOIMPEDANCE; BODY-COMPOSITION; TRAUMA; TIME; TEMPERATURE; ULTRASOUND;
D O I
10.1088/1361-6579/aa8de2
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
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.
引用
收藏
页码:2000 / 2014
页数:15
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