An experience-based multi-lead decision model for electrocardiogram wave boundary detection

Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010

Volumn 2, Issue , 2010, Pages 735-739

  Zhu, Kanjie ^a   Wang, Liping ^a   Shen, Mi ^a   Dong, Jun ^b  

^a EAST CHINA NORMAL UNIVERSITY   (China)

^b SUZHOU INSTITUTE OF NANO TECH AND NANO BIONICS   (China)

Author keywords

ECG; Expert experience; Multi lead decision; Wave bounday

Indexed keywords

ALIGNMENT ALGORITHMS; DECISION MODELS; ECG; EXPERT EXPERIENCE; MEAN DEVIATION; MEDICAL CENTER; MULTI-LEAD DECISION; WAVE BOUNDARY;

ALGORITHMS; BIOMEDICAL ENGINEERING; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; INFORMATION SCIENCE; MODELS;

CHEMICAL DETECTION;

EID: 78650660179     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BMEI.2010.5640078     Document Type: Conference Paper

References (19)

1. Jun Dong, Miao Xu, Hong-hai Zhu, Wei-feng Lu. "Wearable ECG Recognition and Monitor," Proc. 18th IEEE Symposium on Computer-Based Medical Systems. 2005, pp.413-418.
2. R. Mark, "Biological Measurement: Electrical Characteristics of the Heart," Systems Control Encyclopedia, Singh, M.G.(ed.), Oxford, U.K.:Permagon Press, 1990, pp.450-456.
3. A. Murray and N. Mclaughlin, "Variation in the identification of Q wave initiation and its contribution to QT measurement," Physiol. Meas.16, 1995, pp.39-42.
4. I. Dasklov and I.Christov, "Automatic detection of the electrocardiogram T-wave end," Med & Biol Eng & Comp, 1997, pp. 348-353.
5. I. Christov and I. Simova, "Fully automated method for QT interval measurement in ECG," Computers in Cardiology, 2006, pp.321-324.
6. C. Li, C. Zheng and C. Tai, "Detection of ECG characteristic points using wavelet transforms," IEEE Trans. Biomed. Eng., vol.42, 1995, pp. 21-28.
7. J. Martinez, R. Almeida and S. Olmos, "A wavelet-based ECG delineator: Evaluation on standard database," IEEE Trans. Biomed. Eng., vol. 51, 2004, pp. 570-581.
8. AHA, ACCF and HRS, "ECG: Recommendations for the Standardization and Interpretation of the Electrocardiogram," Clinical Expert Consensus Document, 2009 .
9. P. Laguna, R. Jane and P. Caminal, "Automatic detection of wave boundaries in multilead ECG signals: Validation with the CSE database," Comput.Biomed.Res., vol. 27, 2004, pp. 45-60.
10. The MIT-BIH Arrhymia Database., http://www.physionet.org/physiobank/ database/mitdb.
11. The CSE Working Party, "Recommendations for measurement standards in quantitative electrocardiography," Eur.Heart.J., vol. 6, 2008, pp. 815-825.
12. The AHA Database, http://www.ahadata.com/ahadata/html/AHAOnline.html.
13. R. Jane, et al, "Evaluation of an Automatic Threshold Based Detector of Waveform Limits in Holter ECG with QT Database," Computers in Cardiology, IEEE Press, 1997, pp. 295-298.
14. J. Pan, and W.Tompkins, "A Real-Time QRS Detection Algorithm," IEEE Trans. Biomed. Eng., vol. 32, 1985, pp. 230-236.
15. I. Christov, "Real time electrocardiogram QRS detection using combined adaptive threshold," Biomed Eng Online., 2004, http://www.biomedical-engineering-online.com/content.
16. Z. Zhiqiang, G. Xiaohong and W.Qun, "Simplifed support vector machine method for QRS wave detection," Proc. IEEE Symp. Computer-Aided industrial design & conceptual design(CAID&CD 09), 2009, pp.2317-2319.
17. J. Moreas, M Seixas and F.Vilani, "A QRS complex detection algorithm using electrocardiogram leads," Computers in Cardiology, 2002, pp. 205-208.
18. L. Pablo, J. Raimon and B. Eudald, "The ECGPUWAVE tool," online, http://www.physionet.org/physiotools/ecgpuwave.
19. S. Hargittai, "Measurements standards and test signals in QRS boundary determination," Computers in Cardiology, 2007, pp. 447-450.