Detecting onset and offset of QRS complex based on measurement of a triangle

Yingyong Kexue Xuebao/Journal of Applied Sciences

Volumn 29, Issue 3, 2011, Pages 289-293

  Hu, Xiao ^a   Wang, Jia Qing ^a   Zhang, Ni ^b  

^a GUANGZHOU UNIVERSITY   (China)

^b GUANGDONG PROVINCIAL PEOPLE'S HOSPITAL   (China)

Author keywords

Baseline wander; Electrocardiograph; Morphological feature; QRS complex

Indexed keywords

BASELINE WANDER; ECG SIGNALS; ELECTROCARDIOGRAPH; MORPHOLOGICAL FEATURE; MORPHOLOGICAL FEATURES; MULTI-CHANNEL; QRS COMPLEXES; ST SEGMENT;

ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES;

SIGNAL DETECTION;

EID: 79958720526     PISSN: 02558297     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.0255-8297.2011.03.012     Document Type: Article

References (14)

1. EricD H, Sophta H Z, James M L, Dirk Q F, Richard E G, John J W, Scott S K, Francis P M. An algorithm for continuous real-time QT interval monitoring[J]. Journal of Electrocardiology, 2006, 39: S123-S127.
2. Michael R, Jonas P, Eva P, Stafford G W, Pyotr P, Olle P, Galen S W. Comparison of high-frequency QRS components and ST-segment elevation to detect and quantify acute myocardial ischemia[J]. Journal of Electrocardiology, 2010, 43: 113-120.
3. Jeong G Y, Yu K H, Yoon M J, Eiji I. ST shape classification in ECG by constructing reference ST set[J]. Medical Engineering & Physics, 2010, 32: 1025-1030.
4. Zhang Fei, Lian Yong. QRS detection based on multiscale mathematical morphology for wearable ECG devices in body area networks[J]. IEEE Transactions on Biomedical Circuits and Systems, 2009, 3(4): 220-228.
5. Slinane Z E H, Ali A N. QRS complex detection using empirical mode decomposition[J]. Digital Signal Processing, 2010, 20: 1221-1228.
6. Yeh Y C, Wang W J. QRS complexes detection for ECG signal: the difference operation method[J]. Computer Methods and Programs in Biomedicine, 2008, 91: 245-254.
7. Ghaffari A, Golbayani H, Ghasemi M. A new mathematical based QRS detector using continuous wavelet transform[J]. Computers and Electrical Engineering, 2008, 34: 81-91.
8. John D. Towards real time QRS detection: a fast method using minimal pre-processing[J]. Biomedical Signal Processing and Control, 2006, 1: 169-176.
9. Laguna P, Thakor N V, Caminal P, Jane R, Yoon H R, Bayes D L A, Marti V, Guindo J. New algorithm for QT interval analysis in 24-hour Holter ECG: performance and applications[J]. Medical & Biological Engineering & Computing, 1990, 28: 67-73.
10. Kemmelings J G C, Linnenbank A C, Sylvia L C M, Arne S G, Abraham P, Cornelis A G. Automatic QRS onset and offset detection for body surface integral mapping of ventricular tachycardia[J]. IEEE Transactions on Biomedical Engineering, 1994, 41(9): 830-836.
11. Daskalov I K, Christov I I. Electrocardiogram signal preprocessing for automatic detection of QRS boundaries[J]. Medical Engineering & Physics, 1999, 21: 37-44.
12. Steven A I, John M I, Andrew C, Mark D W, Brenda K W. ECG to identify individuals[J]. Pattern Recognition, 2005, 38: 133-142.
13. Hu Xiao, Li Li, Huang Hai, Wang Zhizhong. Study on ECG based on multiresolution entropy[J]. Journal of Southern Medical University, 2007, 27(9): 1368-1373. (in Chinese)
14. Hu Xiao, Wei Wei, Liu Changhong, Han Xiaoming. Correction of ECG baseline wander based on statistical weighted moving average filter[J]. Journal of Biomedical Engineering, 2010, 27(6): 1243-1246. (in Chinese)