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2006 - 2011 гг. - Research interests are related to the development of methods and means to improve the resolution of electrocardiographic apparatus, the prediction of heart disease at an early stage. The work was led by Professor of Tomsk Polytechnic University, Ph.D. D.K.Avdeevoy.

In 2011 at the initiative of IA Lezhnin created small innovative company "Potential" by Law 217, which is developing a portable electrocardiographic equipment for personal use, the company is actively working on currently. This work is supported by leading experts FGBI "Institute of Cardiology" SB RAMS, Tomsk.

2012 г. - Until now It is engaged in a project aimed at creating remote personal monitoring tools ECG (ST segment violations, as well as cardiac arrhythmias) in patients with coronary heart disease (CHD), with high risk of acute myocardial infarction and sudden cardiac death.

The aim is to carry out ECG correctly and quickly, even in extreme conditions without the aid of a specialist with the possibility of instantaneous transmission of ECG to specialized centers for the rapid diagnosis of myocardial perfusion, life-threatening cardiac arrhythmias and organizing quick arrival of an ambulance.

Research interests
  • development of methods and resources to increase the resolution of electrocardiographic equipment
  • designing of resources for remote individual ECG monitoring
Conferences
  • MATEC Web of Conferences, Tomsk
  • International Forum for Young Scientists "Space Engineering", Tomsk
  • All-Russian scientific-practical conference of students and young scientists "Non-destructive testing: electronic instrumentation, technology, security", Tomsk
  • International Conference for Students and Young Scientists «Modern Technique and Technologies (MTT)», Tomsk
Key research findings
  • A portable electrocardiograph that takes into account human anthropometry and allows to ensure the correct positioning of electrodes on various patients is designed
  • The method of using capacitive sensors for rapid tests is developed
  • Algorithms of automatic diagnosis of heart diseases based on the analysis of irregular ECG measurements by personal devices is developed
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