Research and Methodological Approach to Diagnostic Prediction for use in Body Area Sensory Networks for Medical Purpose

Igor Ilich Koltunov¹, Anton Vladimirovich Panfilov², Ivan Aleksandrovich Poselsky³, Nikolay Nikolaevich Chubukov⁴ and Ivan Vladimirovich Krechetov⁵

¹Department of Information Systems and Technologies / Faculty of Information Technologies / Moscow Polytechnic University / Moscow / Russia.

²Tradition Group LTD / Moscow / Russia.

³NTC Automated Technical Systems / Moscow Polytechnic University / Moscow / Russia.

⁴Tradition Group LTD / Moscow / Russia.

⁵Office of Scientific Research and Development / Moscow Polytechnic University / Moscow / Russia.

Corresponding Author E-mail: poselskiyi@bk.ru

Abstract: The content of the article is aimed at the formation of the scientific and technical concept of medical diagnostics and diagnostic prediction (D&DP) within the framework of the daily wearable non-invasive on-body biosensory system for monitoring physiological indicators of human health in complicated conditions of application determined by: noisiness of sensory reception, difficulties in dynamic modeling of physical activity of the observation object, specificity of a priori biomedical information consideration, and peculiarities of solving the problem of reducing compared disparate information streams: interactively updated digital data from the sensor network to a single semantic context, and reference medical information. A harmonious methodology for the design of intelligent sensor networks for medical purposes to carry out remote on-line diagnostics has not been developed in science up to the present time, which determines the scientific novelty and theoretical significance of ongoing research. The topicality of the project is determined by the urgent need for active implementation of achievements in the fields of informatics, microelectronics and communications in the equipping of medical institutions for improving the healthcare quality. Prospects of the research are expressed in the fact that the project goals are in line with the general trends in the telemedicine development, and as a result of applying sensor networks, automation and speed of solving the tasks of remote functional D&DP are expected to increase. The article reflects the priority of the social aspect of the project, as the state of health on the basis of the current analysis of the characteristic combinations of life indicators in nosologies and the results of long-term collection, processing and semantic classification of biomedical data is assessed during the public life of patients. The practical and theoretical importance of the work consists in the weighty contribution of the results obtained to the development of the medical sensory networks methodology in terms of developing a structural scheme that determines the interconnection of the functional modules of the hardware-software complex Sensory Body Network (HSC SBN). Also positive results were obtained in the issues: formalization of the subject area on the basis of the developed structural chart of D and DP; reducing the data array to the standard conditions for solving the statistical task of the current restoration of the diagnostic features of the human body; formation of a closed calibration loop of the HSC SBN; the construction of the criterion for the information retrieval task of identifying the most reliable diagnosis; structural synthesis of the external diagnostic circuit

Keywords: Bioinformatics; Biosensor; Cloud Service; Diagnostic Value; Diagnostic Prognosis; Non-Invasive Monitoring;Sensory Body Network; Telemedicine

[ HTML Full Text]

Back to TOC