Some Aspects of Developing Sensory Networks for Medical Purpose

Igor I. Koltunov¹, Anton V. Panfilov², Ivan A. Poselsky¹, Nikolay N. Chubukov² and Ivan V. Krechetov¹

¹Moscow Polytechnic University, Moscow, Russia.

²Tradition Group LTD., Moscow, Russia.

Corresponding Author E-mail: v-pos@yandex.ru

Abstract: The work objective is to study variants of hardware-software and design-layout solutions for creating a noninvasive wearable biosensor platform for monitoring physiological indicators of a person’s health in a routine wearing mode, taking into account the application features: high-noise environment, motion activity, complexity of factoring a priori biomedical information in. The relevance of the work is due to an expected significant improvement in the quality of medical services provided to the population of Russia, as well as to a reduction in their cost through mainstreaming the most advanced IT solutions based on modern discoveries of fundamental science in armamentarium of medical institutions. Until now, a well-formed ideology of biosensor network development for current non-invasive diagnostics has evolved, which determines the novelty of the studies. The proposed approach is a development of the telemedicine idea aimed at solving problems of functional diagnostics with a high degree of automation. The article shows the main aspects and challenges of building effective models for current diagnosis and diagnostic prognosis of a patient’s health status – the object of non-invasive monitoring based on routine analysis of characteristic combinations of their in-life data in terms of ICD codes and results of long-term collection, processing, and semantic classification of biomedical data. The practical and theoretical significance of the findings is that a scientific and technical basis and a methodological basis have been formed for further improvement of the design work efficiency.

Keywords: Biosensor; Biosensor Platform;Cloud Technologies; Diagnostic Informative Value; Diagnostic Prognosis; Non-Invasive Monitoring; Nosology; Sensory Body Network; Telemedicine

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