The algorithm of R peak detection in ECG based on empirical mode decomposition

Proceedings - 4th International Conference on Natural Computation, ICNC 2008

Volumn 5, Issue , 2008, Pages 624-627

  Tang, Jing Tian ^a   Yang, Xiao Li ^a   Xu, Jun Chao ^a   Tang, Yan ^a   Zou, Qing ^a   Zhang, Xiao Kai ^b  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b Ji Lin Tumour Hospital   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES;

ADAPTIVE THRESHOLD TECHNIQUES; ADAPTIVE THRESHOLDS; EMPIRICAL MODE DECOMPOSITIONS; HIGH SENSITIVITIES; NEW ALGORITHMS; OTHER ALGORITHMS; PEAK DETECTIONS;

ADAPTIVE ALGORITHMS;

EID: 57649181894     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2008.337-     Document Type: Conference Paper

References (6)

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3. Ivaylo I Christov. Real time electrocardiogram QRS detection using combined adaptive threshold. Biomedical Engineering Online. 2004, 3:28 doi: 10.1186/1475-925X-3-28.
4. ZHAO Zhi- hua. QRS wave detection algorithm based on morphological wavelet. Computer Engineering and Applications, 2007,43(13): 236- 238.
5. J. Pan and W.J, Tomkins, A Real-Time QRS Detection algorithm, IEEE Trans. Biomed. Eng. 1985, 32(3):230-236.
6. ZOU Qing, TANG Jing-tian, TANG Yan. Hilbert-Huang Transform for ECG De- noising. Chinese Journal of Medical Physics.2007,24(4):309-312