Genetic algorithm and wavelet hybrid scheme for ECG signal denoising
Tóm tắt
Từ khóa
Tài liệu tham khảo
Sayadi, O., & Shamsollahi, M. B. (2006). ECG denoising with adaptive bionic wavelet transform. In Proc. IEEE EMBS (pp. 6597–6600).
Manikandan, M. S., & Dandapat, S. (2007). Wavelet energy based diagnostic distortion measure for ECG. Biomedical Signal Processing and Control, 2, 80–96.
Scott, H. H., & John, V. A. (2008). Automated wavelet denoising of photoacustic signals for circulating melanoma cell detection and burn image. Physics in Medicine and Biology, 53, 227–236.
Prasad, V. V. K. D. V., Siddaiah, P., & Rao, B. P. (2008). A new wavelet based method for denoising of biological signals. IJCSNS International Journal of Computer Science and Network Security, 8, 238–244.
Donoho, D. L. (1995). De-noising by soft thresholding. IEEE Transactions on Information Theory, 41, 613–627.
Donoho, D. L., & Johnstone, I. M. (1994). Ideal spatial adaptation via wavelet shrinkage. Biometrica, 81, 425–455.
Poornachandra, S. (2008). Wavelet-based denoising using subband dependent threshold for ECG signals. Digital Signal Processing, 18, 49–55.
Poornachandra, S., & Kumaravel, N. (2005). Hyper-trim shrinkage for denoising of ECG signal. Digital Signal Processing, 15, 317–327.
Alfaouri, M., & Daqrouq, K. (2008). ECG signal denoising by wavelet transform thresholding. American Journal of Applied Sciences, 5, 276–281.
Novak, D., Frau, D. C., Eck, V., Pérez-Cortés, J. C., & Andreu-García, G. (2000). Denoising electrocardiogram signal using adaptive wavelets. In BIOSIGNAL 2000, Brno, Czech (pp. 18–20).
Singh, B. N., & Tiwari, A. K. (2006). Optimal selection of wavelet basis function applied to ECG signal denoising. Digital Signal Processing, 16, 275–287.
Erçelebi, E. (2004). Electrocardiogram signals de-noising using lifting-based discrete wavelet transform. Computers in Biology and Medicine, 34, 479–493.
Kania, M., Fereniec, M., & Maniewski, R. (2007). Wavelet denoising for multi-lead high resolution ECG signals. Measurement Science Review, 7, 30–33.
Zhang, Y., Wang, L., Gao, Y., Chen, J., & Shi, X. (2007). Noise reduction in Doppler ultrasound signals using an adaptive decomposition algorithm. Medical Engineering & Physics, 29, 699–707.
Magosso, E., Ursino, M., Zaniboni, A., & Gardella, E. (2009). A wavelet-based energetic approach for the analysis of biomedical signals: application to the electroencephalogram and electro-oculogram. Applied Mathematics and Computation, 207, 42–62.
Ferreira da Silva, A. R. (2005). Wavelet denoising with evolutionary algorithms. Digital Signal Processing, 15, 382–399.
Huang, C. L., & Wang, C. J. (2006). A GA-based feature selection and parameters optimization for support vector machines. Expert Systems with Applications, 31, 231–240.
Goldberg, D. E., & Holland, J. H. (1988). Genetic algorithms and machine learning. Machine Learning, 3, 95–99.
Sharkand, L.-K., & Chunyang, Y. (2003). Design of optimal shift-invariant orthonormal wavelet filterter banks via genetic algorithm. Signal Processing, 83, 2579–2591.
Ferreira da Silva, A. R. (2001). Evolutionary-based methods for adaptive signal representation. Signal Processing, 81, 927–944.
MIT-BIH database (2010). http://www.physionet.org/physiobank/database/mitdb .
Flexible Intelligence Group (1998). User’s Guide, FlexCI Version 1.0, LLC. http://www.cynapsys.com .