Adaptive Linear Neural Network Filter for Fetal ECG Extraction

Proceedings of International Conference on Intelligent Sensing and Information Processing, ICISIP 2004

Volumn , Issue , 2004, Pages 321-324

  Reaz, Mamun Bin Ibne ^a   Wei, Lee Sze ^a  

^a MULTIMEDIA UNIVERSITY   (Malaysia)

Author keywords

ECG Extraction; Fetal ECG; Neural Network; QRS

Indexed keywords

ADAPTIVE FILTERING; COMPUTER ARCHITECTURE; ELECTROCARDIOGRAPHY; ERROR ANALYSIS; FEATURE EXTRACTION; FETAL MONITORING; GRAPHICAL USER INTERFACES; LEAST SQUARES APPROXIMATIONS; SIGNAL DETECTION; SIGNAL PROCESSING; VECTORS;

ECG EXTRACTION; FETAL ECG; QRS;

NEURAL NETWORKS;

EID: 1942439698     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. th Annual International Conference of IEEE Engineering in Medicine and Biology Society, vol.20, no.1, pp 170-173.
2. Costa, E.V., and Moraes, J.C.T.B. (2000): QRS Feature Discrimination Capability: Quantitative and Qualitative Analysis. Computers in Cardiology, IEEE Computer Society press, pp 399-402.
3. Park, Y.C., Lee, K.Y., Youn, D.H., Kim, N.H., and Prk, S.H. (1992): On Detecting the Presence of Fetal R-Wave Using the Moving Averages Magnitude Difference Algorithm. IEEE transaction on Biomedical Engineering, vol. 39, no. 8, pp 868-871.
4. Poli R., Cagnoni S., and Valli, (1995): Genetic Design of Optimum Linear and Nonlinear QRS Detectors. IEEE Trans. on Biomedical Eng., vol. 42, pp 1137-1141.
5. Rodrigues, J.N., Owall, V., and L. Sornmo, (2001): QRS Detection of Pacemakers in a Noisy Environment Using a Time Lagged Artificial Neural Network. Proceedings of ISCAS 2001, Sydney.
6. Widrow, B., and Stearns, S.D. (1985): Adaptive Signal Processing. Prentice Hall, USA, 474 pages.