The dissertation provides a theoretical generalization and solution to an actual
scientific and practical task – the creation of a conceptual basis for identifying the
states of the human body to increase the effectiveness of mobile medicine.
A complex of new methods and approaches has been developed for
determining the states of the human body (as a biological object), as well as with the
help of digitalization of the processes that occur in the human body, the
formalization of displaying their dynamics, which together with technical means
make it possible to realize the possibilities of mobile medicine. This approach
provided a toolkit for creating a patient-oriented approach to assessing conditions,
substantiating technological solutions for dynamic identification of human body
conditions in the tasks of mobile medicine.
The research is presented in five consecutive chapters, each of which not only
solved a certain task, but also served as the basis for the next stages of the research
and generalization of the obtained results.
Determination of the condition of a healthy person or patient is usually carried
out using certain indicators that are included in the group of criteria for the normal
functioning of organs and systems of the body. Although these scoring systems can
only provide stochastic prognostic characteristics, they work well at determining the
likely outcome at the group level, but not well enough at predicting the state of an
individual's body.
Among general theoretical approaches, one of the central elements of
systemic biomedicine is the interaction between mathematical modeling and real
values of measured values. Usually, biological and medical phenomena are
presented as dynamic systems. However, in practice, all system parameters cannot
be found by optimization. Accordingly, the search for an effective state detection
system and quantitative decision-making system, especially for personalized
strategy, should continue.
It is shown that among the three main components of the concept of mobile
medicine technology (methods, approaches/techniques, technical means of their
implementation), the issue of using and implementing various technical means into
health care practice is best studied. Therefore, it has been proven that the most
difficult task in mobile medicine is the formalization of methods and techniques for
identifying the states of the human body and their digitalization.
The main part of the work was the research of informational and technological
approaches to determining the possibilities of mobile medicine, in particular,
dynamic monitoring of the state of the human body, timely detection of permanent
states different from the norm and possible trajectories of transition between them,
ensuring monitoring of indicators of the functional state of the human body. It was
found that, despite the large amount of research, there is no unified understanding
of the standards of information transmission in mobile medicine. In turn, the use of
wireless networks creates a large number of problems related to the need for low
power consumption, light weight, the possibility of implanting sensors, maintaining
security and privacy, connecting through heterogeneous networks in real time,
ensuring functional interoperability, etc.
In turn, the use of wireless networks creates a large number of problems
related to the need for power consumption, implanting sensors, maintaining security
and privacy, connecting through heterogeneous networks in real time, ensuring
interoperability, etc.
Methods are proposed: 1) assessment of stability of functional states of the
human body based on modern technologies of evidence-based medicine and
mathematical approaches; 2) determining the informativeness of signs of the human
body during remote monitoring of its condition. It is emphasized that a sign can be
useful for the diagnosis of some conditions and unimportant for others. To find out
the role of a feature in the class of phenomena, it is proposed to use the diagnostic
value of the feature.
It is recommended to use informativeness estimates that do not depend on the
a priori distribution and risk indicators of predicted states as a universal method for
determining the informativeness of signs during mobile observation of the state of
the human body. To evaluate the informativeness of signs during the transition
between two states of the human body, it is proposed to use the Kullback and
Shannon formulas.
Theoretical and practical studies have been conducted regarding the dynamic
interaction of various physiological systems in the human body. As a result,
a methodological approach to the identification of states of the human body and
quantitative assessment of physiological interactions of indicators based on
continuous multi-channel physiological recordings was formulated.
