Journal article
Evaluation of Cerebral Tissue Oximeters Using Multilayered Dynamic Head Models
IEEE transactions on instrumentation and measurement, v 70, pp 1-12
2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Cerebral tissue oximetry (CTO) based on near-infrared spectroscopy provides clinically relevant information on tissue perfusion and has been used specifically in infant monitoring and during cardiac surgeries. With different sensor designs in the selection and configuration of light sources and detectors and implemented analysis algorithms in tissue oxygen saturation (StO 2 ) extraction, substantial differences were observed between different commercially available CTO device measurements. Tissue models (phantoms) mimicking a human head both optically and anatomically provide the controllable, safe, universally agreeable, and reproducible environment for the evaluation of CTO device performances. In this article, we implemented our realistic and dynamic multilayer mixed solid and liquid phantom design with controlled and repeatable test procedures in the evaluation of multiple commercially available CTO devices. Performances were evaluated for each CTO device within themselves, across each other and a reference device simultaneously under continuously changing oxygen saturation conditions. Results indicated the feasibility of our phantoms in CTO device performance testing and suggested that in general, CTO device measurements were very precise (<inline-formula> <tex-math notation="LaTeX">S_{\mathrm {res}} < 1.48 </tex-math></inline-formula>%) and highly correlated (<inline-formula> <tex-math notation="LaTeX">R^{2} > 0.89 </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">p < 0.0001 </tex-math></inline-formula>) but had varying levels of accuracy, sensitivity, static, and proportional bias (<inline-formula> <tex-math notation="LaTeX">15.4{\%}< A_{\mathrm {rms}} < 21.1 </tex-math></inline-formula>%, 0.31 < sensitivity (regression slope) <0.43, and 35.94< bias (regression intercept) <49.74). In addition, gauge repeatability and reproducibility (Gauge R&R) analysis provided that most of the CTO devices were within acceptable ranges with precision-to-tolerance (P/T) ratio <10%, a number of distinct categories (NDC) >5, and intraclass correlation coefficient (ICC) >80%.
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Details
- Title
- Evaluation of Cerebral Tissue Oximeters Using Multilayered Dynamic Head Models
- Creators
- Meltem Izzetoglu - Electrical and Computer Engineering Department, Villanova University, Villanova, PA, USAKambiz Pourrezaei - Drexel University, College of EngineeringJuan Du - Drexel University, School of Biomedical Engineering, Science, and Health SystemsPatricia A. Shewokis - Drexel University, School of Biomedical Engineering, Science, and Health Systems
- Publication Details
- IEEE transactions on instrumentation and measurement, v 70, pp 1-12
- Publisher
- IEEE
- Number of pages
- 12
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; College of Engineering; Nutrition Sciences
- Web of Science ID
- WOS:000686546200008
- Scopus ID
- 2-s2.0-85102989828
- Other Identifier
- 991019168683504721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Electrical & Electronic
- Instruments & Instrumentation