Breath analysis is an emerging research field with tremendous potential for advance personalized, non-invasive health screening and diagnostics,while new sampling instrumentation tools andanalytical detection methods are developed. Notwithstanding of the quick development of commercially and researcher-built experimental samplers, no robust and repeatable VOCs’ profile technologies have been clinically validated. Such is due to lack of an optimal standard procedure for selective breath sampling which ends in a wide range of contradictory reported results. Challenges of most breath samplers are also related to the substances’ concentrations that are source (oral cavity, oesophageal and alveolar) dependent and their low values (in ppbv - pptv range). Here, we present a suitable and novel technology for selectively sampling exhaled air regarding the subject’s: age, gender, metabolic production of CO2, smoking habits, nutrition and health conditions. The technology was aimed to perform real time flow measurements and collect a pre-determined portion of exhaled air by synchronizing a previously modelled respiratory cycle with the breathing cycle of the user. Through real-time synchronization of breathing cycles, the system can detect optimized sampling instants by machine learning-based algorithm. A first set of tests was conducted to evaluate the robustness and efficiency of the software’s sampling algorithm with two cohorts of participants (n=15 and n=30) with different age groups (2-5 years old and 18-27 years old, respectively). The ability to selectively differentiate exhaled air was also tested through collection and posterior analysis of oesophageal and alveolar air samples obtained from an independent cohort of university students (n=31). Although it requires instrumentation improvements and optimization the breath sampling technology coupled with an efficient analyser device (GC-IMS), the results herein presented suggest a promise step forward in breath sampling adapted to users’ age, genre and physiological condition.
Nowadays, the medical infrared thermal imaging (MITI) techniques can provide good quality images in real-time for monitoring and pre-clinical diagnostic of the diseases caused by inflammatory processes by showing the thermal abnormalities present in the body. MITI allows specify of the functional changes in the normal temperature distribution on the surface of the body, as well as enables refinement the localization of functional changes, the activity of the process, its prevalence and the nature of the changes – inflammation, stagnation, malignancy, etc. Due to its non-contact, non-invasive and non-destructive way of using, this technology has a distinct advantage among other diagnostic methods. Therefore, the main objectives of this research work were automated steps of feature extraction and analysis MTIs, i.e. to develop novel algorithm for quantitative interpretation of thermal images database, to improve the experimental protocol of obtaining thermal images and to perform an extensive field measurement in the selected cohort of patients, in our case, with spinal diseases, in order to provide an immediate high-quality solutions in real time clinical validation of the proposed method.
Process of eye tomogram obtaining by means of optical coherent tomography is studied.
Stages of idiopathic macula holes formation in the process of eye grounds diagnostics are considered. Main stages of retina pathology progression are determined: Fuzzy logic units for obtaining reliable conclusions regarding the result of diagnosis are developed. By the results of theoretical and practical research system and technique of retinal macular region of the eye state analysis is developed ; application of the system, based on fuzzy logic device, improves the efficiency of eye retina complex.
The paper evaluated the diagnostic value of laser photoplethysmography when examining patients with chronic lower limb ischemia. A statistical analysis of the research results was made, and diagrams of relationship between the degrees of ischemia and blood flow are presented. Development of the device to determine the level of peripheral blood circulation and saturation was presented. Also additional accessories in the form of optical fibers for different applications were suggested.
The paper reviews the tomograms of the retina by using coherent optical topographic scanner
STRATUS OCT 3000. There had been researched the efficiency of processing the biomedical images of this
class by using the standard procedure in tomography. There had been developed a new approach to determining
the macular area of the retina in the received tomograms by using the developed program.
The paper evaluated the diagnostic value of laser photoplethysmography when examining patients with chronic lower limb ischemia. A statistical analysis of the research results was made, and diagrams of relationship between the degrees of ischemia and blood flow are presented.
In this paper we report a new method for determination of macular area of the retina obtained by optical coherent tomography (OCT). A novel program of image processing was developed for this purpose. The improved efficiency of proposed tools and it accuracy in the determination of the parameters in the macular area was checked by comparison of results with the standard procedure of processing of the biomedical images of this class. All calculation were obtained from the retina tomograms by using coherent optical topographic scanner STRATUS OCT 3000
The polarization state of light is a very significant source of information in biomedical imaging. A light polarization can
be modified during its interaction with different biological tissues, according to its nature, disorders states and
pathological conditions. So these changes of polarization can provide valuable diagnostic tools. In this article we
presented a brief description of developed devices for tissue polarized image acquisition, classification of methods andresources for this purpose and suggest a direction for the further research.
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