` QRS COMPLEX DETECTION BASED ECG SIGNAL ARTEFACT DISCRIMINATION

被引:4
作者
Jovanovic, Borisav [1 ]
Litovski, Vanco [1 ]
Pavlovic, Milan [2 ]
机构
[1] Univ Nis, Fac Elect Engn, Aleksandra Medvedeva 14, Nish 18000, Serbia
[2] Univ Nis, Fac Med, Nish, Serbia
关键词
ECG telemetry systems; ECG recordings quality;
D O I
10.2298/FUEE1504571J
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A new algorithm dedicated to electrocardiograph telemetry devices is proposed which evaluates the quality of electrocardiogram signals acquired in unsupervised environments, raises the certainty of the produced diagnoses, and accelerates protective actions when necessary. The proposed algorithm is utilized in conditions when electrocardiogram signals are highly susceptible to artefacts. The algorithm is based on novel QRS detection method and is used in microprocessor-based telemetry devices with reduced computing power. The algorithm has been tuned on publicly available databases. The results of its exploitation are also presented.
引用
收藏
页码:571 / 584
页数:14
相关论文
共 33 条
[1]   Assessing ECG signal quality on a coronary care unit [J].
Allen, J ;
Murray, A .
PHYSIOLOGICAL MEASUREMENT, 1996, 17 (04) :249-258
[2]  
[Anonymous], 2008, MATLAB VERS 7 6 0 32
[3]  
Clifford GD, 2011, COMPUT CARDIOL CONF, V38, P285
[4]  
Clifford G.D., 2006, ADV METHODS TOOLS EC, P55
[5]  
Dubin D., 2000, RAPID INTERPRETATION
[6]   ACC/AHA/ESC 2006 guidelines for the management of patients with atrial fibrillation:: full text [J].
Fuster, Valentin ;
Ryden, Lars E. ;
Cannom, David S. ;
Crijns, Harry J. ;
Curtis, Anne B. ;
Ellenbogen, Kenneth A. ;
Halperin, Jonathan L. ;
Le Heuzey, Jean-Yves ;
Kay, G. Neal ;
Lowe, James E. ;
Olsson, S. Bertil ;
Prystowsky, Eric N. ;
Tamargo, Juan Luis ;
Wann, Samuel .
EUROPACE, 2006, 8 (09) :651-745
[7]   Open source ECG analysis [J].
Hamilton, P .
COMPUTERS IN CARDIOLOGY 2002, VOL 29, 2002, 29 :101-104
[8]   QRS detection based ECG quality assessment [J].
Hayn, Dieter ;
Jammerbund, Bernhard ;
Schreier, Guenter .
PHYSIOLOGICAL MEASUREMENT, 2012, 33 (09) :1449-1461
[9]   Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions [J].
Huang, GB ;
Babri, HA .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1998, 9 (01) :224-229
[10]  
Jovanovic B., 2006, ELECTRONICS, V10, P44