The week's pick
Random Articles
Reseach Article
Comparison of Some EMD based Technique for Baseline Wander Correction in Fetal ECG Signal
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 116 - Number 15 |
| Year of Publication: 2015 |
| Authors: P. K. Ghosh, Deepika Poonia |
10.5120/20416-2836
|
P. K. Ghosh, Deepika Poonia . Comparison of Some EMD based Technique for Baseline Wander Correction in Fetal ECG Signal. International Journal of Computer Applications. 116, 15 ( April 2015), 48-52. DOI=10.5120/20416-2836
Abstract
Baseline wander (BW) is a low frequency artifact in biomedical electronic recordings. It is usually caused by patient's respiration or movement of equipments. The removal of this artifact is important in ECG recordings for reliable visual interpretation. This paper presents the implementation of Empirical Mode Decomposition (EMD), Ensemble Empirical Mode Decomposition (EEMD) and EMD based method to remove this disturbance. The EMD based technique serves as an efficient method to remove baseline wander with minimum signal distortion. The results highlights the main differences among all different methods and also show that the EMD based technique is able to remove best baseline wander.
References
- Adam Gacek and Witold Pedrycz, ECG Signal Processing, Classification and Interpretation. Springer-Verlag London Limited, 2012.
- Miad Faezipour, Adnan Saeed, Chandrika Bulusu, Hlaing Minn and Lakshman Tamil, "A patient-adaptive profiling scheme for ECG beat classification," IEEE Trans. Inf. Technol. Biomed. , vol. 14, no. 5, Sept. 2010.
- Manuel Blanco-Velasco, Binvei Weng and Kenneth E. Barner,"ECG signal denoising and baseline wander correction based on the empirical mode decomposion," ELSEVIER Comput. Biol. Med. 38, pp. 1-13, 2008.
- V. Almenar and A. Albiol, "A new adaptive scheme for ECG enhancement," Signal Process. 75(3), pp. 253-263, 1999.
- P. E. Tikkanen, "Non-linear wavelet and wavelet packet denoising of ECG signal," Biol. Cybern. 80(4), pp. 259-267, 1999.
- Domenico Labate, Fabio La Foresta, Gianluigi Occhiuto, Francesco Carlo Morabito, Aime Lay-Ekuakille and Patrizia Vergallo, "Empirical mode decomposition vs. wavelet decomposition for the extraction of respiratory signal from singal-channel ECG: a comparison," IEEE Sensors Journal, vol. 13, no. 7, Jul. 2013.
- N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N. -C. Yen, C. C. Tung, and H. H. Liu, "The empirical mode decomposition and Hilbert spectrum for non-linear and non-stationary time series analysis," Proc. Royal Soc. London A, vol. 454, pp. 903-995, Mar. 1998.
- Zhaohua Wu and Norden E. Huang, "Ensemble empirical mode decomposition: a noise-assisted data analysis method," Advances in Adaptive Data Analysis 1(1), pp. 1-41, 2009.
- T. Y. Ji, Z. Lu, Q. H. Wu and Z. Ji, "Baseline normalization of ECG signals using empirical mode decomposition and Mathematical morphology, " ELECTRONICS LETTERS, vol. 44, no. 2, Jan. 2008.
- physionet. org/cgi-bin/atm/ATM
Index Terms
Keywords