The paper considers the problem of the impact of a complex of environmental factors and their impact on the health of young people. Young people aged 18 to 21 years old, who lived up to 18 years old in different environmental conditions, were examined in order to assess the general functional state of their body. The study used a developed non-invasive optical method for assessing the oxygen status of tissues and general functional state, as well as an independent biomedical study. The results of the experiment revealed the significance of the influence of the ecological factors of the region of birth on the functional state of health of the young generation.
An automated complex for the study of the oxygen status of human body tissues using an artificial trained analytical system is presented. It includes sensory, electronic and computer modules for measuring and analyzing data. System training is implemented according to the principle of dividing the subjects into groups using mathematical methods of data processing and comparing them with data on the degree of adaptive responses obtained in the course of independent biomedical research. After analytical system training, subsequent recognition of the “image” of the test subject and its assignment to one or another group of the type of reaction to the functional load was possible.
The article describes a new method for processing a pulse wave, which is formed from the recorded absorption and scattering signals of laser radiation on a blood vessel or human tissues. A new method of tuning the optical part of the pulse oximeter has been developed to increase the reliability of the results in the rapid diagnosis of the human condition. Experimental data on studies of various people are presented.
The article presents the results of application of the Kohonen artificial neural network (KANN) in assessing the oxygen status of human tissues, as well as for studying the adaptive-compensatory response of the body to functional load. In the experiment, the registered digital oxygen images of the tissue of 31 subjects were distributed into three classes using the KANN. Each group is characterised by different resistance of the organism to hypoxia. The research results have shown the effectiveness of using an artificial neural network structure and the possibility of its implementation for recognition of the functional state of a person under conditions of metabolic hypoxia; it seems relevant and has theoretical and practical significance in the framework of ecological physiology.
Nowadays, with the increase in the rhythm of life, the relevance of using express diagnostics methods for human health state estimation has significantly increased. We present a new express diagnostics method based on non-invasive measurements (the pulse wave shape, heart rate, blood pressure, and oxygen saturation of blood vessels and tissues). A feature of these measurements is that they can be carried out both in the hospital and at home. The new compact and portable optical hardware–software complex has been developed to measure tissue oxygen saturation. This complex makes it possible to reduce the measurement time from 60 min to 7–8 min, which reduces the likelihood of artifacts in the measurement process and increases its reliability. A new technique has been developed to carry out these measurements. A new optical sensor based on a line of charge-coupled devices has been developed to register a pulse wave in the far peripheral zone. The developed new technique for processing the pulse waveform and data on the oxygen saturation of hemoglobin in the blood and tissues allows a person to obtain additional information about their state of health independently. It will help to make conclusions about taking the necessary measures. This additional information allows the attending physician to provide more effective control over the course of treatment of the patient at any time since the methods of express diagnostics proposed by us have no restrictions on the number of applications. The functional state of more than 300 patients was studied. The results of various measurements are presented.
A non-invasive method for analyzing oxygen supply for human tissues using methods of mathematical processing of multidimensional data, which has an important diagnostic value, is proposed. As a result of experimental studies with the participation of 10 subjects using a non-invasive optical trainable diagnostic system, attempts were made to collect information in conventional units by means of multichannel optical analyzer of the visible spectral range. The obtained results of mathematical processing of experimental data show that the proposed technique is effective and can be used in practical medical and biological developments.
A new method for determining the functional state of a person is proposed, aimed at solving the fundamental problem of analyzing complex multicomponent biological means of identification based on new methods of multivariate electrochemical analysis using artificial neural-like systems and technologies for training and pattern recognition.
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