FPGA-based online-learning using parallel genetic algorithm and neural network for ECG signal classification

ECTI-CON 2010 - The 2010 ECTI International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology

Volumn , Issue , 2010, Pages 1050-1054

  Jewajinda, Yutana ^a   Chongstitvatana, Prabhas ^b  

^a NATIONAL ELECTRONICS AND COMPUTER TECHNOLOGY CENTER   (Thailand)

^b CHULALONGKORN UNIVERSITY   (Thailand)

Author keywords

[No Author keywords available]

Indexed keywords

BLOCK-BASED NEURAL NETWORKS; ECG SIGNALS; HARDWARE IMPLEMENTATIONS; LONG TERM; ONLINE LEARNING; PARALLEL GENETIC ALGORITHMS;

COMPUTER HARDWARE; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; GENETIC ALGORITHMS; HARDWARE; INFORMATION TECHNOLOGY; LEARNING ALGORITHMS; PATIENT MONITORING;

NEURAL NETWORKS;

EID: 77954898964     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Moon, S. W., and Kong, S. G. (2001). Block-based neural networks. IEEE Transaction on Neural Networks 12:307-317.
2. E. Cantu-Paz, Efficient and accurate parallel genetic algorithms. Boston, MA: Kluwer Academic Publisher, 2000.
3. Y. Jewajinda and P. Chongstitvatana, "FPGA Implementation of a Univariate Estimation of Distribution Algorithm and Block-based Neural Network as An Evolvable Hardware", IEEE World Congress on Computational Intelligence, Hong Kong, June, 2008.
4. Y. Jewajinda and P. Chongstitvatana, "FPGA Implementation of a Cellular Genetic Algorithm, NASA/ESA international conference on Adaptive hardware and Systems (AHS-2008), Netherland, July, 2008.
5. Y. Jewajinda and P. Chongstitvatana, "Hardware Architecture and FPGA Implementation of a Parallel Elitism-based Compact Genetic Algorihm, " Proc. IEEE TENCON, 2009.
6. Mark R. and Moody G. MIT-BIH Arrhythmia Database Directory [Online]. Available from: www.physionet.org.
7. Linh, T. H., Osowski, S., and Stodolski, M. (2003). On-line heart beat recognition using Hermite polynomials and neuro-fuzzy network. IEEE Transaction on Instrument and Measurement, 52: 1224-1231.
8. Hu, Y., Palreddy, S., and Tompkins, W. J. (1997). A patient-adaptable ECG beat classifier using a mixture of experts approach. IEEE Transaction on Biomedical Engineering, 44: 891-900.
9. Chazal, P. de., O'Dwyer, M., and Reilly, R. B. (2004). Automatic classification of heartbeats using ECG morphology and heartbeat interval features. IEEE Transaction on Biomedical Engineering, 51: 1196-1206.
10. W. Jiang, Moon, S. W., and Kong, S. G. (2007). Block-Based Neural Networks for Personalized ECG Signal Classification. IEEE Transaction on Neural Networks 18: 1750-1761.