QRS detection for pacemakers in a noisy environment using a time lagged artificial neural network

ISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings

Volumn 3, Issue , 2001, Pages 596-599

  Neves Rodrigues, J ^a   Owall, V ^a   Sornmo, L ^a  

^a LUND UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

DETECTOR PERFORMANCE; ELECTRONIC APPLIANCES; FEED-FORWARD ARTIFICIAL NEURAL NETWORKS; LOWER FREQUENCIES; MATCHED FILTERING; NOISY ENVIRONMENT; QRS COMPLEXES; SIGNALTONOISE RATIO (SNR);

IMPULSE RESPONSE; NEURAL NETWORKS; ALGORITHMS; DATABASE SYSTEMS; DETECTORS; PACEMAKERS; SIGNAL TO NOISE RATIO; WAVES;

SIGNAL TO NOISE RATIO; NEURAL NETWORKS;

ELECTROGRAM (EG) SIGNALS;

EID: 0035014661     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCAS.2001.921381     Document Type: Conference Paper

References (4)

1. S. Haykin, Neural Networks, a comprehensive foundation, Prentice Hall, 1999.
2. Q. Xue, Y. H. Hu, W. J. Tompkins, "Neural-Network-Based Apative Matched Filtering for QRS detection". IEEE Transactions on Biomedical Engineering, April 1992, pages 317-328
3. G. M. Friesen, T. C. Jannett, M. A. Jadallah, S. L Yates, S. R. Quint, H. T. Nagle, "A Comparison of the Noise Sensitivity of Nine QRS Detection Algorithms". IEEE Transactions on Biomedical Engineering, January 1990, pages 85-98. (Pubitemid 20123439)
4. C. W. Therrien, Discrete random signals and statistical signal processing, Prentice Hall, 1992.