Radiotekhnika
Publishing house Radiotekhnika

"Publishing house Radiotekhnika":
scientific and technical literature.
Books and journals of publishing houses: IPRZHR, RS-PRESS, SCIENCE-PRESS


Тел.: +7 (495) 625-9241

 

Research of the possibility for creating diagnostic systems of ischemic heart disease on single-channel ECG recording

Keywords:

E.M. Taleb – Post-graduate Student, Department «Biomedical and Electronic Systems and Technology», Vladimir State University named after A.&N. Stoletovs
E-mail: noor2@mail.ru
W.A. Al-Haidri – Assistant, Department «Biomedical and Electronic Systems and Technology»,  Vladimir State University named after A.&N. Stoletovs
E-mail: fawaz_tariq@mail.ru
R.V. Isakov – Ph.D.(Eng.), Associate Professor, Department «Biomedical and Electronic Systems and Technology», Vladimir State University named after A.&N. Stoletovs
E-mail: Isakov-RV@mail.ru
L.T. Sushkova – Dr.Sc.(Eng.), Professor, Head of Department «Biomedical and Electronic Systems and Technology», Vladimir State University named after A.&N. Stoletovs
E-mail: ludm@vlsu.ru


The wide prevalence and great social significance of coronary heart disease (IHD) cause the need for its timely early diagnosis. The last two decades have been marked by significant successes in the treatment of IHD. However, the issues of diagnosing possible early ma-nifestations of this disease, the nature of various rhythm disturbances, primarily in the preventive stage, are still unresolved. Therefore, an important early task is to diagnose the electrical instability of the myocardium, its subsequent correction (treatment) and prevention.
In modern practice, many methods are used to diagnose coronary heart disease, different in their reliability and informativeness. One of the main methods of diagnosing all cardiovascular diseases, including IHD, is electrocardiography (ECG). The method of recording the electrocardiogram is very widely used in cardiac diagnostics and is an obligatory stage in the examination of the patient regardless of the preliminary diagnosis. ECG is used for dispensary examination, for preventive medical examinations, for physical exercises (for example, on a veloergometer) and helps to detect abnormalities in the functioning of the heart muscle, which can be crucial for diagnosing coronary heart disease. In clinical practice, several types of leads are used from the hands, legs and chest of the subject. To diagnose coronary artery disease, the abductions of Einthoven, Goldberger, and Wilson are usually used. In the case of preventive examinations (goals), the most commonly used is Eintoven's lead, since the signal is removed only from the hands of a person, which allows registration of a large number of people in free conditions, including by the patient himself.
In this paper, the possibility of creating a system for diagnosing ischemic heart disease by single-channel recording is considered. For this purpose, a number of selected methods have been studied, which are currently used for processing and analysis of EKS, including: Fourier analysis; singular decomposition in the case of a synchronous ensemble; analysis of the singular spectrum (caterpillar method); statistical analysis; wavelet analysis; integration of wavelet analysis and statistics; chalk-frequency cepstral coefficients. The results of the study of these methods of processing and classification of the electrocardiogram (ECS) are presented, the most informative of which were Fourier analysis, wavelet analysis and chalk-frequency cepstral coefficients. The studied methods of processing and classification of ECS ensured the effective separation of the «Norma» and «Pathology» classes. The databases of ECG signals used, the methods of analysis used and the methodology for conducting the study are described. The obtained results can be used for constructing systems of classification of functional states of an organism, determination of diseases by an electrocardio signal. For example, in the CardioQVARK telemetry monitoring system as a means of screening control of large population groups.

References:
  1. Thom T., Haase N., Rosamond W. American Heart Association Statistics Committee and Stroke Statistics Subcommittee // Heart disease and stroke statistics–2006 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation 2006;113: e85–e151.
  2. Estestvennoe dvizhenie naseleniya v razreze sub’‘ektov Rossijskoj Federaczii za yanvar’−sentyabr’ 2016 g. http://www.gks.ru/free_doc/2016/demo/edn09-2016.xlsx.
  3. Litvinenko R.I., Shulenin S.N., Kulikov A.N., Sveklina T.S., Nagorny’j M.B., Talantov S.V. Informativnost’ razlichny’x metodov diagnostiki prexodyashhej ishemii miokarda u paczientov s podozreniem na ishemicheskuyu bolezn’ serdcza // Lechashhij vrach. 2014. № 10.S. 11−14.
  4. Tixonenko V.M Diagnostika ishemicheskoj bolezni serdcza: chto zhdut i chto poluchayut ot funkczional’noj diagnostiki. URL = http://www.pdf.knigi x.ru/21meditsina/141736-1-diagnostika-ishemicheskoy-bolezni-serdca-chto-zhdut-chto-poluchayut-funkcionalnoy-diagnostiki-tihonenko-shirokaya-ra.php (data obrashheniya 20.04.2017).
  5. Kardiomonitor CardioQVARK kardiogramma s pomoshh’yu telefona. URL = http://www.cardioqvark.ru/.
  6. Isakov R.V., Sunczova O.V. Postroenie tipovogo kardioczikla v sisteme CardioQVARK // Materialy’ Vseros. molodezh. konf. «Metody’ komp’yuternoj diagnostiki v biologii i mediczine – 2015». Pod red. prof. D.A. Usanova. Saratov: Izd-vo «Saratovskij istochnik». 2015. 305 s.
  7. Grigor’ev D.S., Spiczy’n V.G. Primenenie nejronnoj seti i diskretnogo vejvlet- preobrazovaniya dlya analiza i klassifikaczii e’lektrokardiogramm // Izvestiya Tomskogo politexnicheskogo universiteta. Inzhiniring georesursov (e’lektronnaya versiya). 2012. T. 321. № 5: Upravlenie, vy’chislitel’naya texnika i informatika. S. 57−61.
  8. Viktorov V.A. Sovremennoe sostoyanie i perspetivy’ razvitiya mediczinskogo priborostroeniya // Mediczinskaya fizika. Texnika, biologiya, klinika. 2001. № 11.S. 59−62.
  9. Chesnokov Yu.V., Chizhikov V.I. Diskretnoe vejvlet-preobrazovanie v obrabotke e’lektrokardiogramm s merczatel’noj aritmiej // Czifrovaya obrabotka signalov (e’lektronnaya versiya). 2003. № 3. S. 13−15.
  10. Monaxova O.A. Znachimost’ vejvletny’x metodov pri operativnom analize ritma serdcza // Materialy’ konf. «Molody’e ucheny’e – nauke i proizvodstvu». Saratov: SGTU. 2008. S. 131−136.
  11. Akay M. Wavelet Applications in Medicine // IEEE Spectrum. 1997. V. 34. № 5. P. 50−56.
  12. Rabiner L.R., Shafer R.V. Czifrovaya obrabotka rechevy’x signalov: Per. s angl. M.: Radio i svyaz’. 1981. 496 s.

© Издательство «РАДИОТЕХНИКА», 2004-2017            Тел.: (495) 625-9241                   Designed by [SWAP]Studio