Abstract
The continuous demand for high performance and low cost electrocardiogram (ECG) processing systems have required the elaboration of more and more efficient and reliable ECG compression techniques. Such techniques face a tradeoff between compression ratio and retrieved quality, where the decrease of the last can compromise the subsequent use of the signal for clinical purposes. The objective of this work is to evaluate the validity and performance of an independent component analysis (ICA) based scheme used to efficiently compress ECG signals while introducing tests for a different type of record of the electrical activity of the heart, such as fetal magnetocardiogram (fMCG). As a result, the reconstructed signals underwent negligible visual deterioration, while achieving promising compression ratios.
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References
Jalaleddine, S.M., Hutchens, C.G., Strattan, R.D., Coberly, W.A.: ECG data compression techniques-A unified approach. IEEE Trans. Biomed. Eng. 37(4), 329–343 (1990)
Olmos, S., Millan, M., Garcia, J., Laguna, P.: ECG data compression with the Karhunen-Loeve transform. In: Computers in Cardiology, Menlo Park, CA, pp. 253–256. IEEE Comput. Soc. Press, Los Alamitos (1996)
Miaou, S.G., Chao, S.N.: Wavelet-based lossy-to-lossless ECG compression in a unified vector quantization framework. IEEE Trans. Biomed. Eng. 52(3), 539–543 (2005)
Blanco-Velasco, M., Cruz-Roldan, F., Godino-Llorente, J.I., Barner, K.E.: ECG compression with retrieved quality guaranteed. Electronics Letters 40(23), 1466–1467 (2004)
Rajoub, B.A.: An efficient coding algorithm for the compression of ECG signals using the wavelet transform. IEEE Trans. Biomed. Eng. 49(4), 355–362 (2002)
Sekuler, A.B., Bennet, P.J.: Visual neuroscience: Resonating to natural images. Curr. Biol. 11, 733–736 (2001)
Bell, A.J., Sejnowski, T.J.: Edges are the independent components of natural scenes. In: Advances in neural information processing systems, vol. 9, pp. 831–837. MIT Press, Cambridge (1997)
Olshausen, B.A., Field, D.J.: Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381, 607–609 (1996)
Souza, C.M., Cavalcante, A.B., Guilhon, D., Barros, A.K.: Image compression by Redundancy Reduction, In: ICA (submited, 2007)
Tavarozzi, I., et al.: Magnetocardiography: current status and perspectives: Part I. Physical principles and instrumentation, Ital. Heart J. 3, 75–85 (2002)
Hild II, K.E., Alleva, G., Nagarajan, S.S., Comani, S.: Performance comparison of six Independent Components Analysis algorithms for fetal signal extraction from real fMCG data. Phys. Med. Biol. 52, 449–462 (2007)
Comani, S., et al.: Time course reconstruction of fetal cardiac signals from fMCG: Independent Component Analysis vs. Adaptive Maternal Beat Subtraction, Physiol. Meas 25, 1305–1321 (2004)
Comani, S., et al.: Characterization of fetal arrhythmias by means of fetal magnetocardiography in three cases of difficult ultrasonographic imaging. Pacing. Clin. Electrophysiol. 27, 1647–1655 (2004)
Guilhon, D., Medeiros, E., Barros, A.K.: ECG Data Compression by Independent Component Analysis. In: IEEE Workshop on Machine Learning for Signal Processing, September 28-30, 2005, pp. 189–193 (2005)
Barros, A.K., Ohnishi, N.: Single channel speech enhancement by efficient coding. Signal Processing 85(9), 1805–1812 (2005)
Hyvarinen, A., Oja, E.: A fast fixed-point algorithm for independent component analysis. Neural Computation 9, 1483–1492 (1997)
Hyvarinen, A., Karhunen, J., Oja, E.: Independent Component Analysis. John Wiley & Sons, New York (2001)
Papoulis, A., Pillai, S.U.: Probability, Random Variables and Stochastic Processes, 4th edn. McGraw-Hill, New York (2002)
Comani, S., et al.: Independent component analysis: fetal signal reconstruction from magnetocardiographic recordings. Comput. Meth. Prog. Biomed. 75, 163–177 (2004)
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Guilhon, D., Barros, A.K., Comani, S. (2007). ECG Compression by Efficient Coding. In: Davies, M.E., James, C.J., Abdallah, S.A., Plumbley, M.D. (eds) Independent Component Analysis and Signal Separation. ICA 2007. Lecture Notes in Computer Science, vol 4666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74494-8_74
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DOI: https://doi.org/10.1007/978-3-540-74494-8_74
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