Combined Non-Invasive Optical Oximeter and Flowmeter with Basic Metrological Equipment

Optical non-invasive diagnostic methods and equipment are used today in many medical disciplines. However, there is still no generally accepted and unifying engineering theory of such systems. Today, they are developed most empirically and do not always have the desired effectiveness in clinics. Among reasons for their insufficient clinical efficiency, we can claim the limited set of measured parameters, the poorly substantiated technical design parameters, and the lack of metrological certification, which all together lead to large uncertainties and inaccuracies in diagnostic data. The purpose of this study is to develop a new instrument for non-invasive optical oximetry by means of substantiating and creating amore informative tissue oximeter with an enhanced number of measured parameters and equipped with the basic metrological tools-imitational measures. The combination of two related optical diagnostic techniques-a tissue oximetry, including a cerebral one, and a fluctuation flowmetry on a single hardware platform-was used. Theoretical modeling of light transport in tissues was applied to substantiate the main technical design parameters of the device. For each measuring channel, relevant imitation measures for metrological verification and adjustment have been proposed. Some common principles for the operation of such equipment are described in the article, as well.

Automated summary

Optical non-invasive diagnostic methods and equipment are widely used in various medical disciplines, but there is a lack of a unified engineering theory. Due to limited measured parameters, poorly substantiated technical design parameters, and lack of metrological certification, these devices have limited effectiveness in clinical settings. This study aims to develop a new instrument for non-invasive optical oximetry by creating a more informative tissue oximeter with an enhanced number of measured parameters. It combines two related optical diagnostic techniques on a single hardware platform and applies theoretical modeling for technical design parameter substantiation.