A new QRS detection algorithm based on empirical mode decomposition

2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008

Volumn , Issue , 2008, Pages 693-696

  Xing, Hongyan ^a   Huang, Minsong ^a  

^a NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

Author keywords

Empirical mode decomposition (EMD); Intrinsic mode function (IMF); QRS complex detection

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; ALGORITHMS; BIOCOMMUNICATIONS; BIOINFORMATICS; BIOMEDICAL ENGINEERING; BOOLEAN FUNCTIONS; COMPLEXATION; FEATURE EXTRACTION; INFORMATION SCIENCE; SIGNAL DETECTION; SINGULAR VALUE DECOMPOSITION;

EMPIRICAL MODE DECOMPOSITION (EMD); INTRINSIC MODE FUNCTION (IMF); QRS COMPLEX DETECTION; QRS DETECTION;

SIGNAL PROCESSING;

EID: 50949124599     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBBE.2008.169     Document Type: Conference Paper

References (4)

1. Thakor, N. V., Webster, J. G., and Tompkins, W. J., 1984, estimation of QRS complex power spectra for design of a QRS filter. IEEE Transactions on BME, 31, 702-706.
2. Tompkins WJ, Pan J, A real time QRS detection algorithm, IEEE Transactions on Biomedical Engg. BME-32, No. 3:230-235, March 1985.
3. Vijaya, G., Vinod Kumar, and Verma, H. K., 1997, Artificial neural network based wave complex detection in electrocardiograms. International Journal of Systems Science, 28, 125-132.
4. Li, C., Zheng, C., and Tai, C., 1995, Detection of ECG characteristic points using wavelet transforms, IEEE Transactions on BME, 42, 21-28.