{"id":1600,"date":"2021-01-16T18:09:15","date_gmt":"2021-01-16T16:09:15","guid":{"rendered":"http:\/\/journals.khnu.km.ua\/vestnik\/?p=1600"},"modified":"2021-05-17T14:21:18","modified_gmt":"2021-05-17T11:21:18","slug":"%d0%b0%d0%bf%d0%b0%d1%80%d0%b0%d1%82%d0%bd%d0%b0-%d1%80%d0%b5%d0%b0%d0%bb%d1%96%d0%b7%d0%b0%d1%86%d1%96%d1%8f-%d1%96%d0%bc%d0%bf%d1%83%d0%bb%d1%8c%d1%81%d0%bd%d0%be%d1%97-%d1%88%d1%82%d1%83%d1%87","status":"publish","type":"post","link":"https:\/\/journals.khnu.km.ua\/vestnik\/?p=1600","title":{"rendered":"\u0410\u043f\u0430\u0440\u0430\u0442\u043d\u0430 \u0440\u0435\u0430\u043b\u0456\u0437\u0430\u0446\u0456\u044f \u0456\u043c\u043f\u0443\u043b\u044c\u0441\u043d\u043e\u0457 \u0448\u0442\u0443\u0447\u043d\u043e\u0457 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u043e\u0457 \u043c\u0435\u0440\u0435\u0436\u0456 \u0434\u043b\u044f \u0434\u0435\u0442\u0435\u043a\u0442\u0443\u0432\u0430\u043d\u043d\u044f \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u0456\u0432 \u0435\u043b\u0435\u043a\u0442\u0440\u043e\u043a\u0430\u0440\u0434\u0456\u043e\u0433\u0440\u0430\u0444\u0456\u0447\u043d\u043e\u0433\u043e \u0441\u0438\u0433\u043d\u0430\u043b\u0443 (\u0415\u041a\u0413"},"content":{"rendered":"

\u0410\u041f\u0410\u0420\u0410\u0422\u041d\u0410 \u0420\u0415\u0410\u041b\u0406\u0417\u0410\u0426\u0406\u042f \u0406\u041c\u041f\u0423\u041b\u042c\u0421\u041d\u041e\u0407 \u0428\u0422\u0423\u0427\u041d\u041e\u0407 \u041d\u0415\u0419\u0420\u041e\u041d\u041d\u041e\u0407 \u041c\u0415\u0420\u0415\u0416\u0406 \u0414\u041b\u042f \u0414\u0415\u0422\u0415\u041a\u0422\u0423\u0412\u0410\u041d\u041d\u042f \u041f\u0410\u0420\u0410\u041c\u0415\u0422\u0420\u0406\u0412 \u0415\u041b\u0415\u041a\u0422\u0420\u041e\u041a\u0410\u0420\u0414\u0406\u041e\u0413\u0420\u0410\u0424\u0406\u0427\u041d\u041e\u0413\u041e \u0421\u0418\u0413\u041d\u0410\u041b\u0423 (\u0415\u041a\u0413)<\/p>\n

MACHINE IMPLEMENTATION OF THE IMPULSE ARTIFICIAL NEURAL NETWORK FOR DETECTION OF ELECTROCARDIOGRAPHIC SIGNAL PARAMETERS (ECG)<\/p>\n

<\/a> \u0421\u0442\u043e\u0440\u0456\u043d\u043a\u0438: 126-133. \u041d\u043e\u043c\u0435\u0440: \u21164, 2019 (275)<\/strong>
\n\u0410\u0432\u0442\u043e\u0440\u0438: <\/strong>
\n\u0414.\u0412. \u0427\u0415\u0420\u041d\u0415\u0422\u0427\u0415\u041d\u041a\u041e, \u041c.\u041c. \u041c\u0406\u041b\u0418\u0425, \u041a.\u0412. \u041b\u0423\u0414\u0410\u041d\u041e\u0412
\n\u0414\u043d\u0456\u043f\u0440\u043e\u043f\u0435\u0442\u0440\u043e\u0432\u0441\u044c\u043a\u0438\u0439 \u043d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u0456\u043c. \u041e\u043b\u0435\u0441\u044f \u0413\u043e\u043d\u0447\u0430\u0440\u0430
\nD.V. CHERNETCHENKO, M.M. MILYKH, K.V. LUDANOV
\nDnipropetrovsk National University named after Oles Gonchar
\nDOI:<\/strong> https:\/\/www.doi.org\/10.31891\/2307-5732-2019-275-4-126-133<\/a>
\n\u0420\u0435\u0446\u0435\u043d\u0437\u0456\u044f\/Peer review :<\/strong> 09.06.2019 \u0440.
\n\u041d\u0430\u0434\u0440\u0443\u043a\u043e\u0432\u0430\u043d\u0430\/Printed :<\/strong> 17.07.2019 \u0440.<\/p>\n

\u0410\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u043c\u043e\u0432\u043e\u044e \u043e\u0440\u0438\u0433\u0456\u043d\u0430\u043b\u0443<\/strong><\/p>\n

\u041f\u043e\u0440\u0442\u0430\u0442\u0438\u0432\u043d\u0456 \u043f\u0440\u0438\u0441\u0442\u0440\u043e\u0457 \u0434\u043b\u044f \u043c\u043e\u043d\u0456\u0442\u043e\u0440\u0438\u043d\u0433\u0443 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u0456\u0432 \u0436\u0438\u0442\u0442\u0454\u0434\u0456\u044f\u043b\u044c\u043d\u043e\u0441\u0442\u0456 \u043b\u044e\u0434\u0438\u043d\u0438 \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u043c\u0443 \u0447\u0430\u0441\u0456, \u0442\u0430\u043a\u0456 \u044f\u043a \u043f\u0435\u0440\u0435\u043d\u043e\u0441\u043d\u0456 \u0435\u043b\u0435\u043a\u0442\u0440\u043e\u043a\u0430\u0440\u0434\u0456\u043e\u0433\u0440\u0430\u0444\u0438 (\u0415\u041a\u0413), \u0441\u0442\u0430\u043b\u0438 \u0434\u0443\u0436\u0435 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u0438\u043c\u0438 \u043d\u0430 \u0441\u044c\u043e\u0433\u043e\u0434\u043d\u0456. \u0423 \u0434\u0430\u043d\u0456\u0439 \u0440\u043e\u0431\u043e\u0442\u0456 \u0437\u0430\u043f\u0440\u043e\u043f\u043e\u043d\u043e\u0432\u0430\u043d\u043e \u0456\u043d\u0442\u0435\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u0438\u0439 \u0442\u0430 \u0435\u043d\u0435\u0440\u0433\u043e\u0435\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u0438\u0439 \u043f\u0456\u0434\u0445\u0456\u0434 \u0434\u043b\u044f \u0437\u0430\u0434\u0430\u0447\u0456 \u0434\u0435\u0442\u0435\u043a\u0442\u0443\u0432\u0430\u043d\u043d\u044f QRS \u043a\u043e\u043c\u043f\u043b\u0435\u043a\u0441\u0443 \u0437 \u0441\u0438\u0440\u0438\u0445 \u0435\u043b\u0435\u043a\u0442\u0440\u043e\u043a\u0430\u0440\u0434\u0456\u043e\u0433\u0440\u0430\u0444\u0456\u0447\u043d\u0438\u0445 (\u0415\u041a\u0413) \u0434\u0430\u043d\u0438\u0445, \u0440\u0435\u0430\u043b\u0456\u0437\u043e\u0432\u0430\u043d\u0438\u0439 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0430\u043f\u0430\u0440\u0430\u0442\u043d\u043e\u0433\u043e \u0440\u0456\u0448\u0435\u043d\u043d\u044f. QRS \u043a\u043e\u043c\u043f\u043b\u0435\u043a\u0441 \u0454 \u043e\u0434\u043d\u0456\u0454\u044e \u0437 \u043d\u0430\u0439\u0431\u0456\u043b\u044c\u0448 \u0432\u0430\u0436\u043b\u0438\u0432\u0438\u0445 \u043e\u0437\u043d\u0430\u043a \u0435\u043b\u0435\u043a\u0442\u0440\u043e\u043a\u0430\u0440\u0434\u0456\u043e\u0433\u0440\u0430\u043c\u0438 (\u0415\u041a\u0413), \u044f\u043a\u0430 \u0437\u0430\u0431\u0435\u0437\u043f\u0435\u0447\u0443\u0454 \u0434\u0443\u0436\u0435 \u0432\u0430\u0436\u043b\u0438\u0432\u0443 \u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0456\u044e \u043f\u0440\u043e \u043f\u043e\u0442\u043e\u0447\u043d\u0438\u0439 \u0441\u0442\u0430\u043d \u0441\u0435\u0440\u0446\u044f \u0442\u0430 \u0441\u0435\u0440\u0446\u0435\u0432\u043e-\u0441\u0443\u0434\u0438\u043d\u043d\u043e\u0457 \u0441\u0438\u0441\u0442\u0435\u043c\u0438 \u0432 \u0446\u0456\u043b\u043e\u043c\u0443. \u041d\u043e\u0432\u0438\u0437\u043d\u0430 \u043d\u0430\u0448\u043e\u0433\u043e \u043f\u0456\u0434\u0445\u043e\u0434\u0443 \u043f\u043e\u043b\u044f\u0433\u0430\u0454 \u0432 (1) \u043f\u043e\u043f\u0435\u0440\u0435\u0434\u043d\u0456\u0439 \u0444\u0456\u043b\u044c\u0442\u0440\u0430\u0446\u0456\u0457 \u0441\u0438\u0440\u043e\u0433\u043e \u0441\u0438\u0433\u043d\u0430\u043b\u0443 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u0443 \u0446\u0438\u0444\u0440\u043e\u0432\u043e\u0457 \u0444\u0456\u043b\u044c\u0442\u0440\u0430\u0446\u0456\u0457; (2) \u043a\u043e\u0434\u0443\u0432\u0430\u043d\u043d\u0456 \u043f\u0440\u043e\u0441\u0442\u043e\u0440\u043e\u0432\u043e-\u0447\u0430\u0441\u043e\u0432\u0438\u0445 \u0432\u043b\u0430\u0441\u0442\u0438\u0432\u043e\u0441\u0442\u0435\u0439 \u0415\u041a\u0413-\u0441\u0438\u0433\u043d\u0430\u043b\u0443 \u0431\u0435\u0437\u043f\u043e\u0441\u0435\u0440\u0435\u0434\u043d\u044c\u043e \u0432 \u0441\u043f\u0430\u0439\u043a\u043e\u0432\u0443 \u043f\u043e\u0441\u043b\u0456\u0434\u043e\u0432\u043d\u0456\u0441\u0442\u044c \u0442\u0430 \u0457\u0457 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0434\u043b\u044f \u0437\u0431\u0443\u0434\u0436\u0435\u043d\u043d\u044f \u043c\u0443\u043b\u044c\u0442\u0438\u0441\u0442\u0430\u0431\u0456\u043b\u044c\u043d\u043e\u0457 \u0441\u043f\u0430\u0439\u043a\u043e\u0432\u043e\u0457 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u043e\u0457 \u043c\u0435\u0440\u0435\u0436\u0456 (SNN) \u0442\u0430 (3) \u0443 \u0432\u0456\u0434\u0441\u0443\u0442\u043d\u043e\u0441\u0442\u0456 \u043d\u0435\u043e\u0431\u0445\u0456\u0434\u043d\u043e\u0441\u0442\u0456 \u0431\u0443\u0434\u044c-\u044f\u043a\u043e\u0433\u043e \u0441\u0443\u043f\u0435\u0440\u0432\u0456\u0437\u043e\u0440\u0430 \u0434\u043b\u044f \u0434\u0435\u0442\u0435\u043a\u0442\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u0430\u0437\u0434\u0430\u043b\u0435\u0433\u0456\u0434\u044c \u0437\u0430\u0434\u0430\u043d\u0438\u0445 \u043e\u0437\u043d\u0430\u043a \u0443 \u0441\u0438\u0433\u043d\u0430\u043b\u0456. \u0420\u0435\u0430\u043b\u0456\u0437\u043e\u0432\u0430\u043d\u043e \u0448\u0442\u0443\u0447\u043d\u0443 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u0443 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0443 \u043d\u0430 \u043c\u0443\u043b\u044c\u0442\u0438\u0441\u0442\u0430\u0431\u0456\u043b\u044c\u043d\u0438\u0445 \u043d\u0435\u0439\u0440\u043e\u043d\u0430\u0445 \u0437 \u0431\u0456\u043e\u043b\u043e\u0433\u0456\u0447\u043d\u043e\u044e \u043f\u043e\u0434\u0456\u0431\u043d\u0456\u0441\u0442\u044e \u043f\u043e\u0432\u0435\u0434\u0456\u043d\u043a\u0438. \u0420\u0456\u0448\u0435\u043d\u043d\u044f \u0434\u043b\u044f \u0448\u0442\u0443\u0447\u043d\u043e\u0457 \u043d\u0435\u0439\u0440\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0457 \u043c\u0435\u0440\u0435\u0436\u0456 (ANN) \u0432\u043f\u0440\u043e\u0432\u0430\u0434\u0436\u0435\u043d\u043e \u0442\u0430 \u043f\u0435\u0440\u0435\u0432\u0456\u0440\u0435\u043d\u043e \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0430\u0440\u0445\u0456\u0442\u0435\u043a\u0442\u0443\u0440\u0438 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043e\u0432\u0430\u043d\u0438\u0445 \u043b\u043e\u0433\u0456\u0447\u043d\u0438\u0445 \u0456\u043d\u0442\u0435\u0433\u0440\u0430\u043b\u044c\u043d\u0438\u0445 \u0441\u0445\u0435\u043c (\u041f\u041b\u0406\u0421) DIGILENT BASYS II SPARTAN-3E XC3S100E \u0437 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f\u043c \u0441\u0435\u0440\u0435\u0434\u043e\u0432\u0438\u0449\u0430 WebPACKTM ISE 13.3. \u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0438 \u043f\u043e\u043a\u0430\u0437\u0430\u043b\u0438 \u0432\u0438\u0441\u043e\u043a\u0443 \u0442\u043e\u0447\u043d\u0456\u0441\u0442\u044c \u0432\u0438\u044f\u0432\u043b\u0435\u043d\u043d\u044f R-\u043f\u0456\u043a\u0456\u0432 \u0415\u041a\u0413 \u0442\u0430 \u043e\u0431\u0447\u0438\u0441\u043b\u0435\u043d\u043d\u044f RR \u0456\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u0456 \u043d\u0430\u0440\u0456\u0437\u043d\u0438\u0445 \u0431\u0430\u0437\u0430\u0445 \u0434\u0430\u043d\u0438\u0445: MIT-BIH ECG \u0442\u0430 \u0432\u043d\u0443\u0442\u0440\u0456\u0448\u043d\u0456\u0439 \u0415\u041a\u0413 \u0431\u0430\u0437\u0456 \u0434\u0430\u043d\u0438\u0445 \u043b\u0430\u0431\u043e\u0440\u0430\u0442\u043e\u0440\u0456\u0457 (intdb), \u0449\u043e \u0441\u0438\u0433\u043d\u0430\u043b\u0456\u0437\u0443\u0454 \u043f\u0440\u043e \u0437\u043d\u0430\u0447\u043d\u0438\u0439 \u043f\u043e\u0442\u0435\u043d\u0446\u0456\u0430\u043b \u0446\u044c\u043e\u0433\u043e \u043f\u0456\u0434\u0445\u043e\u0434\u0443 \u0434\u043b\u044f \u0456\u043d\u0442\u0435\u0433\u0440\u0430\u0446\u0456\u0457 \u0432 \u043f\u0440\u043e\u0442\u043e\u0442\u0438\u043f\u0438 \u043c\u0430\u0439\u0431\u0443\u0442\u043d\u0456\u0445 \u043f\u043e\u0440\u0442\u0430\u0442\u0438\u0432\u043d\u0438\u0445 \u043f\u0440\u0438\u0441\u0442\u0440\u043e\u0457\u0432.
\n\u041a\u043b\u044e\u0447\u043e\u0432\u0456 \u0441\u043b\u043e\u0432\u0430:<\/strong> \u0435\u043b\u0435\u043a\u0442\u0440\u043e\u043a\u0430\u0440\u0434\u0456\u043e\u0433\u0440\u0430\u043c\u0430, \u0415\u041a\u0413, \u0448\u0442\u0443\u0447\u043d\u0456 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u0456 \u043c\u0435\u0440\u0435\u0436\u0456, \u043c\u0443\u043b\u044c\u0442\u0438\u0441\u0442\u0430\u0431\u0456\u043b\u044c\u043d\u0456 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u0456 \u043c\u0435\u0440\u0435\u0436\u0456, QRS \u0434\u0435\u0442\u0435\u043a\u0442\u043e\u0440, \u0441\u043f\u0430\u0439\u043a\u043e\u0432\u0456 \u043d\u0435\u0439\u0440\u043e\u043d\u0456 \u043c\u0435\u0440\u0435\u0436\u0456, FPGA, Spartan-3E, VHDL, \u043d\u0435\u0439\u0440\u043e\u043c\u043e\u0440\u0444\u043d\u0456 \u0440\u0456\u0448\u0435\u043d\u043d\u044f.<\/p>\n

\u0420\u043e\u0437\u0448\u0438\u0440\u0435\u043d\u0430 \u0430\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u0430\u043d\u0433\u043b\u0456\u0439\u0441\u044c\u043a\u043e\u044e \u043c\u043e\u0432\u043e\u044e<\/strong><\/p>\n

Portable devices for monitoring human lifetime parameters in real time, such as wearing electrocardiographs (ECGs), have become very popular today. In this work, an intellectual and energy-efficient approach for the detection of QRS complex from raw electrocardiographic (ECG) data, implemented with the help of hardware decision. The QRS complex is one of the most important electrocardiograms (ECGs), which provides very important information about the current state of the heart and the cardiovascular system as a whole. However, the problems associated with the accuracy of QRS real-time detection of complexes and the classification of various features of the ECG signal structure and the energy efficiency of such hardware solutions remain open questions. The novelty of our approach is (1) preliminary filtration of the raw signal using the digital filtering algorithm; (2) encoding the spatial-temporal properties of the ECG signal directly into the adhesive sequence and its use to excit the multi-stable adhesion neural network (SNN); and (3) in the absence of any supervisor to detect predetermined signals in the signal. An artificial neural structure is implemented on multi-stable neurons with a biological similarity of behavior. An artificial neural network (ANN) solution was implemented and verified using the DIGILENT BASYS II SPARTAN-3E XC3S100E programmable logic integrated circuits (FPGAs) architecture using the WebPACKTM ISE 13.3 environment. The transmission of incoming and outgoing digital data between a FPGA device and a PC is implemented using a universal asynchronous transfer interface (UART). The results showed a high accuracy of the detection of R-peaks of ECG and RR calculation of the interval of rifled databases: the MIT-BIH ECG and the internal ECG of the laboratory database (intdb), which signals the significant potential of this approach for integration into prototypes of future portable devices.
\nKeywords:<\/strong> electrocardiogram, ECG, artificial neural networks, multi-stable neural networks, QRS detector, spin neural network, FPGA, Spartan-3E, VHDL, neuromorphic solutions.<\/p>\n

References<\/strong><\/p>\n

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