xt-stroke-width: 0px; "> [1] M. Abo-Zahhad, S. M. Ahamed and A. Zakaria, "ECG Signal Compression
Technique Based on Discrete Wavelet Transform and QRS-Complex
Estimation," Signal Processing – An International Journal (SPIJ), vol. 4, no.
2, pp. 138-160, 2010.
[2] A.M.R. Dixon, E.G. Allstot, D. Gangopadhyay, and D.J. Allstot,
“Compressed sensing system considerations for ECG and EMG wireless
biosensors,” IEEE TBCAS, vol. 6, no. 2, pp. 156 –166, April 2012.
[3] L.F. Polania, R.E. Carrillo, M. Blanco-Velasco, and K.E. Barner,
“Compressive sensing exploiting wavelet domain dependencies for ECG
compression,” in SPIE Defense, Security, and Sensing, pp. 83650E–83650E,
April 2012.
[4] L.F. Polania, R.E. Carrillo, M. Blanco-Velasco, and K.E. Barner, “On
exploiting interbeat correlation in compressive sensing-based ECG
compression,” in SPIE Defense, Security, and Sensing, pp. 83650D–
83650D, April 2012.
[5] L.F. Polania, R.E. Carrillo, M. Blanco-Velasco, and K.E. Barner,
“Compressed sensing based method for ECG compression,” in Proceedings e-width: 0px; "> IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Prague, Czech
Republic, ICASSP, , pp. 761-764, May 2011.
[6] Z. Lu, D. Y. Kim, and W. A. Pearlman, “Wavelet compression of ECG
signals by the set partitioning in hierarchical trees algorithm,” IEEE T-BME,
vol. 47, no. 7, pp. 849 –856, July 2000.
[7] [7] D. L. Donoho, “Compressed sensing,” IEEE Trans. Inform. Theory, vol.
52, pp. 1289-1306, 2006.
[8] [8] E. Candes, J. Romberg, and T. Tao, “Robust uncertainty principles:
exact signal reconstruction from highly incomplete frequency information,”
IEEE Trans. Inform. Theory, vol. 52, no. 2, pp. 489–509, Feb. 2006.
[9] [9] M. M. Abo-Zahhad, Aziza I. Hussein, A. M. Mohamed, "Compression
of ECG Signal Based on Compressive Sensing and the Extraction of
Significant Features," Int. J. Communications, Network and System
Sciences, vol. 8, pp. 97-117, April 2015.
[10] [10] A. B. Roy, D. Dey and B. Mohanty and D. Banerjee, "Comparison of
FFT, DCT, DWT, WHT Compression Techniques on Electrocardiogram
and Photoplethysmography Signals" Special Issue of International Journal
of Computer Applications (Inte. Conf. on Computing, Communication and
Sensor Network, CCSN'2012), pp. 6-11, 2012.