Researcher from NArFU Contributes to Medical Diagnostics Improvement

Researcher from NArFU Contributes to Medical Diagnostics Improvement

Aleksander Popov, Associate Professor at the Institute of Mathematics, Information and Space Technologies (Northern Arctic Federal University), is successfully solving the tasks of medical diagnostics program development.

‘In 2005 Professor Sergey Svinin from St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences came to Arkhangelsk to lecture’, - Alexander Popov relates. – ‘A year after I became a PhD student under his supervision. He specializes in digital signal processing theory. In particular, Sergey has worked with the doctors from St Petersburg who studied the state of the gastrointestinal tract (GIT) by means of electrogastroenterography (EGEG), developed in the Soviet Union. The essence of the method consists in collecting signals form sensors fixed on the patient’s body and thereby obtaining information about the gastric and intestine motility. Analysing these signals helps to identify health problems.

I started working in the same field. As a result we were able to prove that EGEG can be used for abdominal disease localization. For this purpose two groups of patients were examined. The symptoms were similar, but in the first group they were caused by stomach problems and in the second they were connected with intestine conditions. Together with Sergei Vavrinchuk and Pavel Kosenko, two surgeons from Far-Eastern State Medical University (Khabarovsk), we developed a new application scenario for EGEG.

In collaboration with our colleagues from Khabarovsk we are currently working on identification of stenosis degree via EGEG. We have developed a software program allowing to determine the necessary for operative treatment in such cases. It is now being tested. The results have so far been good.

In general we are developing two types of programs: one for data processing automation in our own research and one intended for doctors. In relation to the first one we’ve developed a method for EGEG signals quality control. Some manufacturers of relevant medical equipment have already shown their interest. We met and decided on further cooperation.

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