Electrocardiogram processing system - Data analysis processing


Nino Berianidze


Electrocardiogram processing system


   Nowadays, an increasing number of problems caused by sudden cardiac death is a major challenge, which is the root cause of many of the one less controlled loads and as a result caused by cardiac problems. Unregulated load time getting pathologically changed heart - excessive fatigue, intense exercise, which may in some cases be caused less controlled loads. Such factors affect the normal functioning of the cardiovascular system leads to an abnormal transformation, eg .: Pulse heart rhythm disturbance of the heart's blood-giving norm falling out, etc. These diseases can be computer-software using the R-R intervals (most often met rhythm) and determining their sequence through the filter. Heart rate variability (HRV) is psychological phenomenon of heart rate fluctuation between intervals. Also used to mark the terms RR, which means the variation of the heart rhythm of work (where R represents the highest point of the ECG wave), and the cycle length variability.


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(1). John L. Semmlow, Biosignal and Biomedical Image Processing / MATLAB-Based Application, 2004.

(2). Hadeel Kassim ALJobouri, Hussain A. Jaber Alziarjawey , Biosignal Processing Medical Imaging and fMRI (BSPMI) Software Package Based on MATLAB GUI for Education and Research,2010.

(3). BioHarness, B-Alert, Mobita, or Stellar Hardware/Firmware, AcqKnowledge 4 Software guide (For life Science Research Applications), PDF 4.27.2016

(4). R.M Bayevsky (Chair), G.G Ivanov (Chair Deputy), HRV Analysis under the usage of different electrocardiography systems (Methodical recommendations), 11-th of April, 2002.

(5). Hsun-Hsien Chang and Jose M. F . Moura, Biomedical Signal Processing, 2010.

(6). Mika P. Tarvainen, Juha-Pekka Niskanen, Jukka A. Lipponen, Perttu O. Ranta-aho, Pasi A. Karjalainen, Computer Methods and Programs in Biomedicine, Kubios HRV – Heart rate variability analysis software, Volume 113, Issue 1, January 2014, Pages 210-220.

(7). Mohamed Fezari, Rachad Rasras, Ibrahiem M. M. EI Emary, Ambulatory Health Monitoring System Using Wireless Sensors Node, 2015.

(8). Elena Nikolaeva, Vera Merenkova, The Influence of the Children's Inner Health Picture on their Heart Rate Regulation, 2014.

(9). http://www.medportal.ge/pg2.php?Id=128&act=newsarch&catId=49&act2=full , http://cardiosite.ru.

(10). დარეჯან კახიძე, სამკურნალო კომბინატის ფუნქციური დიაგნოსტიკის (ეკგ) განყოფილების ექიმი, კარდიოლოგი, http://www.mkurnali.ge/diagnostika/1868-2010-04-21-13-39-38.html,



September 10, 2019