Application of multiscale principal component analysis (MSPCA) for enhancement of ECG signals

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Volumn , Issue , 2011, Pages 1540-1544

  Sharmila, K ^a   Krishna, E Hari ^b   Reddy, Komalla Nagarjuna ^c   Reddy, K Ashoka ^b  

^a Kamala Institute of Technology and Science   (India)

^b KAKATIYA UNIVERSITY   (India)

^c Govt MGM Hospitals   (India)

Author keywords

ECG signal; Principle Component Analysis; Wavelet Transform

Indexed keywords

BASELINE DRIFT; COMPLEX DATASETS; ECG DATA; ECG SIGNALS; ELECTROMYOGRAM; IN-BAND INTERFERENCE; INTERFERENCE SIGNAL; LINEAR RELATIONSHIPS; MODERN CONTROL; MULTI-SCALE PRINCIPAL COMPONENT ANALYSIS; NONPARAMETRIC METHODS; NONSTATIONARY SIGNALS; PARASITE-; POWERLINE INTERFERENCE; PRINCIPAL COMPONENTS; PRINCIPLE COMPONENT ANALYSIS; STANDARD TOOLS; TIME FREQUENCY ANALYSIS; WAVELET COEFFICIENTS;

DATA REDUCTION; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; INSTRUMENTS; MEASUREMENT THEORY; WAVELET ANALYSIS; WAVELET TRANSFORMS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 80051908782     PISSN: 10915281     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IMTC.2011.5944301     Document Type: Conference Paper

References (16)

1. J. C. Huhta and J. G. Webster, "60-Hz interference in electrocardiograph," IEEE Trans. Biomed. Eng,, vol. 20, pp. 91-101, 1973.
2. L. Sornmo and P. Laguna, Bioelectrical Signal Processing in Cardiac and Neurological Applications, Elsevier Academic Press, MA, USA, 2005.
3. S. C. Pie and C. C. Tseng, "Elimination of AC interference in electrocardiogram using IIR notch filter with transient suppression," IEEE Trans. Biomed. Eng., vol. 42, pp. 1128-2232, 1995.
4. Ch. Levkov, G. Mihov, R. Ivanov and I. Daskalov, "Subtraction of 50 Hz interference from the electrocardiogram," Med. & Biol. Eng. & Comp., vol. 22, pp. 371-373, 1984.
5. B. Widrow, "Adaptive noise cancelling: principles and applications," Proc. IEEE, vol. 63, (12), pp. 1692-1716, 1975.
6. A. K. Ziaranj and A. Konrad, "A nonlinear adaptive method of elimination of PLI in ECG signals," IEEE Trans. Biomed. Eng., vol. 49, (6), pp. 540-547, 2002.
7. P. S. Hamilton, "A comparison of adaptive and non-adaptive filters for the reduction of PLI in the ECG," IEEE Trans. Biomed. Eng., vol. 43(1), pp. 105-109, 1996.
8. L. Park, K. J. Lee and H. R. Yoon, "Application of a wavelet adaptive filter to minimize distortion of the ST-segment," Med. Biol. Eng. & Comput., vol. 36, no. 5, pp. 581-586, September 1998.
9. Cuiwei Li, Chongxun Zheng, and Changfeng Tai, "Detection of ECG Characteristic Points using Wavelet Transforms," IEEE Trans. Biomed. Eng., Vol. 42, No. 1, 1995.
10. J.S Sahambi, S.N. Tandon and R.K.P. Bhatt, "Using Wavelet Transform for ECG Characterization," IEEE Eng. in Med. and Bio., 1997.
11. S.Z. Mohmoodabadi, A. Ahmadian, M.D. Abolhasani (2005) ECG feature extraction using daubechies wavelets, Proc. of the fifth IASTED International Conference, Benidorm, Spain.
12. M. Alfaouri and K. Daqrouq, "ECG signal denoising by wavelet transform thresholding," American Journal of Applied Sciences, vol. 5, no. 3, pp. 276-281, 2008.
13. D. L. Donoho, De-noising by softthresholding, IEEE Transaction on Information Theory, Vol. 41, pp. 613-627, May 1995.
14. B. Anthony and S. Terry, "The independent components of natural scenes are edge filters," Vision Research, 37(23), pp. 3327-3338, 1997.
15. B. R. Bakshi, "Multiscale PCA with application to multivariate statistical process monitoring, AIChE Journal, 44, 7, pp.1596-1610, 1998.
16. "The MIT-BIH Arrhythmia Database," http://physionet.ph.biu.ac. il/physiobank/database/mitdb/