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Artifact Removal from Biosignal using Fixed Point ICA Algorithm for Pre-processing in Biometric Recognition Cover

Artifact Removal from Biosignal using Fixed Point ICA Algorithm for Pre-processing in Biometric Recognition

Measurement Science Review
Volume 13 (2013): Issue 1 (February 2013)
By:  and    
Open Access
|Feb 2013
References

References

  1. [1] Teplan, M. (2002). Fundamentals of EEG measurement., 2 (2), 1-11.
    Search in Google Scholar
  2. [2] Eischen, S.E., Luckeritz, J.Y., Polish, J. (1995). Spectral analysis of EEG from families., 41, 61-68.
    Open DOISearch in Google Scholar
  3. [3] Svidevskaya, N.E., Koroľkova, T.A. (1995). Genetic features of the human cerebral cortex., 25 (5), 370-376.
    Open DOISearch in Google Scholar
  4. [4] Vogel, F. (1970). The genetic basis of the normal EEG., 10, 91-114.
    Search in Google Scholar
  5. [5] Poulos, M., Rangoussi, M., Hrissikopoulos, V., Evangelou, A. (1999). Person identification based on parametric processing of the EEG. In, 5-8 September 1999. IEEE, 283-286.
    Open DOISearch in Google Scholar
  6. [6] Biel, L., Pettersson, O., Philipson, L., Wide, P. (2001). ECG analysis: A new approach in human identification., 50, 808-812.
    Open DOISearch in Google Scholar
  7. [7] Irvine, J.M., Wiederhold, B.K., Gavshon, L.W., Israel, S., McGehee, S.B., Meyer, R., Wiederhold, M.D. (2001). Heart rate variability: A new biometric for human identification. In. Las Vegas, Nevada, 1106-1111.
    Search in Google Scholar
  8. [8] Gupta, C.N., Palaniappan, R., Swaminathan, S. (2008). On the analysis of various techniques for a novel Biometric system.Informatics, 1 (2), 266-273.
    Open DOISearch in Google Scholar
  9. [9] Ursulean, R., Lazar, A.M. (2009). Detrended crosscorrelation analysis of biometric signals used in a new authentication method., 1 (89), 55-58.
    Search in Google Scholar
  10. [10] Gupta, C.N., Khan, Y.U., Palaniappan, R., Sepulveda, F. (2009). Wavelet framework for improved target detection in oddball paradigms using P300 and gamma band analysis., 14 (2), 61-67.
    Search in Google Scholar
  11. [11] Palaniappan, R., Eswaran, C. (2009). Using genetic algorithm to select the presentation order of training patterns that improves simplified fuzzy ARTMAP classification performance., 9, 100-106.
    Open DOISearch in Google Scholar
  12. [12] Abdullah, M.K., Subari, K.S., Cheang Loong, J.L., Ahmad, N.N. (2010). Analysis of the EEG signal for a practical biometric system., 68, 1123-1127.
    Search in Google Scholar
  13. [13] Yang, X., Dai, J., Zhang, H., Wu, B., Su, Y., Chen, W., Zheng, X. (2011). P300 Wave based person identification using LVQ neural network., 6 (3), 296-302.
    Search in Google Scholar
  14. [14] Gupta, C.N., Palaniappan, R., Paramesran, R. (2012). Exploiting the P300 paradigm for cognitive biometrics., 1 (1), 26-38.
    Open DOISearch in Google Scholar
  15. [15] Singh, Y.N., Singh, S.K. (2012). Evaluation of electrocardiogram for biometric authentication., 12 (3), 39-48.
    Open DOISearch in Google Scholar
  16. [16] Israel, S.A., Scruggs, W.T., Worck, W.J., Irvine, J.M. (2003). Fusing face and ECG for person identification. In, 15-17 October 2003. IEEE, 225-231.
    Search in Google Scholar
  17. [17] Shen, T.W., Tompkins, W.J., Hu, Y.H (2002). Onelead ECG for identity verification. In, 23-26 October 2002. IEEE, 62-63.
    Search in Google Scholar
  18. [18] Makeig, S., Bell, A.J., Jung, T.P., Sejnowski, T.J. (1996). Independent component analysis of electroencephalographic data., 8, 145-151.
    Search in Google Scholar
  19. [19] Hyvarinen, A. (1999). Fast and robust fixed-point algorithms for independent component analysis., 10 (3), 626-634.
    Open DOISearch in Google Scholar
  20. [20] Vigario, R., Sarela, J., Jousmaki, V., Hamalainen, M., Oja, E. (2000). Independent component approach to the analysis of EEG and MEG recordings., 47 (5), 589-593.
    Open DOISearch in Google Scholar
  21. [21] Jiang, J.A., Chao, C.F., Chiu, M.J., Lee, R.G., Tseng, C.L., Lin, R. (2007). An automatic analysis method for detecting and eliminating ECG artifacts in EEG., 37, 1660-1671.
    Open DOISearch in Google Scholar
  22. [22] Gupta, C.N., Palaniappan, R. (2011). Reducing power spectral density of eye blink artifact through improved genetic algorithm. In, 25-27 March 2011.
    Search in Google Scholar
  23. [23] Palaniappan, R., Gupta, C.N. (2006). Genetic algorithm based independent component analysis to separate noise from electrocardiogram signals. In, 22-23 April 2006. IEEE, 1-5.
    Open DOISearch in Google Scholar
  24. [24] Hyvarinen, A., Erkki, O. (2000). Independent component analysis: Algorithms and applications., 13 (4-5), 411-430.
    Open DOISearch in Google Scholar
  25. [25] Ungureanu, M., Bigan, C., Strungaru, R., Lazarescu, V. (2004). Independent component analysis applied in biomedical signal processing., 4, 1-8.
    Search in Google Scholar
  26. [26] Krishnaveni, V., Jayaraman, S., Kumar, P.M., Shivakumar, K., Ramadoss, K. (2005). Comparison of independent component analysis algorithms for removal of ocular artifacts from electroencephalogram., 5 (2), 67-78.
    Search in Google Scholar
  27. [27] Jung, T.P., Makeigh, S., Humphries, C., Lee, T.W., Mckeown, M.J., Iragui, V., Sejnowski, J. (2000). Removing electroencephalographic artifacts by blind source separation., 37, 163-178.
    Open DOISearch in Google Scholar
  28. [28] Xu, L., Cheung, C., Yang, H., Amari, S. (1997). Independent component analysis by the informationtheoretic approach with mixture of densities, 5, 1821-1826.
    Search in Google Scholar
  29. [29] Agrawal, G., Singh, M., Singh, V.R., Singh, H.R. (2008). Reduction of artefacts in 12-channel ECG signals using FastICA algorithm., 67, 43-48.
    Search in Google Scholar
  30. [30] Palaniappan, R. (2010).Ventus Publishing.
    Search in Google Scholar
  31. [31] Patil, D., Das, N., Routray, A. (2011). Implementation of fast-ICA: A performance based comparison between floating points, and fixed point DSP platform., 11 (4), 118-124.
    Open DOISearch in Google Scholar
DOI: https://doi.org/10.2478/msr-2013-0001 | Journal eISSN: 1335-8871
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Language: English
Page range: 7 - 11
Published on: Feb 9, 2013
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Independent component analysis,
electroencephalogram,
electrocardiogram,
electrooculogram
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2013 Puneet Mishra, Sunil Kumar Singla, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons License.

Volume 13 (2013): Issue 1 (February 2013)
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