The non-invasive optical glucometer prototype with ellipsoidal reflectors

Bezuglyi, M. A.; Bezuglaya, N. V.; Kuprii, O.; Yakovenko, Irina O.

doi:10.1109/rtucon.2018.8659864

Cited by 11 publications

(6 citation statements)

References 13 publications

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“…Based on the mechanism of image processing at ellipsoidal photometry [32], the methodology of photometric image analysis during angular photometry by ellipsoidal reflector was improved. The processing scheme (Figure 4), except of region of interest and external ring A1, also contains ellipse of incident flux A2 and area of collimated reflection A3.…”

Section: Methods and Toolsmentioning

confidence: 99%

Angular Photometry of Biological Tissue by Ellipsoidal Reflector Method

Bezuglyi

Bezuglaya

Ventsuryk

et al. 2019

Prib. metody izmer.

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Angular measurements in optics of biological tissues are used for different applied spectroscopic task for roughness surface control, define of refractive index and for research of optical properties. Purpose of the research is investigation of the reflectance of biologic tissues by the ellipsoidal reflector method under the variable angle of the incident radiation.The research investigates functional features of improved photometry method by ellipsoidal reflectors. The photometric setup with mirror ellipsoid of revolution in reflected light was developed. Theoretical foundations of the design of an ellipsoidal reflector with a specific slot to ensure the input of laser radiation into the object area were presented. Analytical solution for calculating the angles range of incident radiation depending on the eccentricity and focal parameter of the ellipsoid are obtained. Also created the scheme of image processing at angular photometry by ellipsoidal reflector.The research represents results of experimental series for samples of muscle tissues at wavelengths 405 nm, 532 nm, 650 nm. During experiment there were received photometric images on the equipment with such parameters: laser beam incident angles range 12.5–62.5°, ellipsoidal reflector eccentricity 0.6, focal parameter 18 mm, slot width 8 mm.The nature of light scattering by muscle tissues at different wavelengths was represented by graphs for the collimated reflection area. The investigated method allows qualitative estimation of influence of internal or surface layers of biologic tissues optical properties on the light scattering under variable angles of incident radiation by the shape of zone of incident light.

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Section: Methods and Toolsmentioning

confidence: 99%

Angular Photometry of Biological Tissue by Ellipsoidal Reflector Method

Bezuglyi

Bezuglaya

Ventsuryk

et al. 2019

Prib. metody izmer.

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“…The received photometric image is the precondition for further zone analysis in correspondence to its structure [37]. The photometer operating model interpretation suggests the forming the photometric images of reflector second focal plane as a Monte-Carlo simulation result of light propagation in system "multi-layered biological tissue + ellipsoidal reflector" [36]- [41].At the same time, the light source parameters in simulation are regulated by the software by means of setting the required photons quantity and cross section profile for the laser central mode during its operation in continues wave single-mode regime. Parameters of ellipsoid of revolution corresponds to real photometer reflector and have following values: eccentricity 0.66, focal parameter 16.875 mm, reflection coefficient 0.95.…”

Section: Methods and Toolsmentioning

confidence: 99%

“…The light scattering in both forward and back scattered directions during the photometry by ellipsoidal reflectors can be determined by the thickness of investigated BM sample [36], [37]. Table 2 represents the data of anatomic thickness of human skin layers, which were used during simulation for the different zones of photometric images illuminance estimation.…”

Section: Methods and Toolsmentioning

confidence: 99%

“…For investigations in ex vivo or in vivo, the measuring scheme and construction of device will become much complicated and will require the using of additional devices and tools. The number of applied implementations of photometers with ellipsoidal reflectors [36]- [39] had significant results during the optical properties determination of different biological tissues and medias. Moreover, there were applied rather simple realization scheme and experimental procedure.…”

Section: Introductionmentioning

confidence: 99%

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Control of Optical Clearing of Human Skin by Ellipsoidal Reflector Method

Bezuglyi

Bezuglaya

Nahornyi

2019

Mìkrosist. elektron. akust.

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Current research deals with the problem of optical clearing during photometry by ellipsoidal reflectors. The specific problem is optical clearing of human skin, specifically the level control tasks during non-invasive conditions of experiment. In silico experiment involve Monte Carlo simulation of light propagation in multi-layered biological tissue and ellipsoidal reflector. The research was made for the set of human skin layers optical properties and their anatomic thicknesses. There were received photometric images in back scattered light for human skin from following parts of body: palm (hand), chest, abdomen, shoulder, back and thigh. Based on the zone analysis there were received illuminance dependencies of middle and external rings of photometric images from the optical clearing time. In addition, there was investigated the influence of optical clearing time on the character of light scattering on human skin from different parts of human body. Ref. 45, fig. 5, tabl. 2.

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“…The using of ellipsoidal reflectors as a solution for increasing of specific weight of registered light during gathering of scattered light in the range of body angle 2π is successful. It proved its efficiency after interaction with rough surface of technical specimens [21], and optically turbid biological environments [22][23][24][25].…”

Section: Introductionmentioning

confidence: 97%

Optical Feedback Based on the Photometryby Ellipsoidal Reflector in Bionic Fingers Application

Vonsevych¹,

Bezuglyi²,

Prytula³

2019

KPI SN

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Background. The investigation focus is the specificity of effective recognition of surface types during the interaction between finger prosthesis and manipulation objects, and organization of optical feedback system in the control module of bionic limb. Objective. The purpose of the paper is development and testing of method of optical feedback organization in the systems of bionic prostheses of human hand fingers. Methods. The developed system of optical feedback is based on the microcontroller measuring device with infrared (IR) optical emitter and sensor, ellipsoidal reflector, and artificial neural network. Results. During the research the comparison of application effectivity of optical feedback system with ellipsoidal reflector and without one was performed. The analysis was performed by classification of set with twelve, eleven, and ten types of surfaces of investigated specimens with the means of artificial neural network. The obtained accuracy of surface recognition for the system without an ellipsoidal reflector was 77%, 82% and 87%. In turn, the accuracy of surface recognition in the application of the ellipsoidal reflector was 94%, 98%, and 100%, correspondingly. Such results prove the possibility of further use of the photometry system by ellipsoidal reflectors for organization of constructive parts or complete feedback modules of the bionic fingers. Conclusions. The organization system of optical feedback based on optical emitter and sensor, ellipsoidal reflectors and artificial neural network for recognition of kinds of separate surfaces, with which can interact bionic prostheses fingers is proposed. The proposed system proved the certainty in recognition of limited set of investigated specimens. The efficiency of such system can be improved by using sensors array and wider data set for training.

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The non-invasive optical glucometer prototype with ellipsoidal reflectors

Cited by 11 publications

References 13 publications

Angular Photometry of Biological Tissue by Ellipsoidal Reflector Method

Angular Photometry of Biological Tissue by Ellipsoidal Reflector Method

Control of Optical Clearing of Human Skin by Ellipsoidal Reflector Method

Optical Feedback Based on the Photometryby Ellipsoidal Reflector in Bionic Fingers Application

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