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Smart Compression for Telemedicine

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 98 - Number 6
Year of Publication: 2014
Ershad Sharifahmadian
Shahram Latifi

Ershad Sharifahmadian and Shahram Latifi. Article: Smart Compression for Telemedicine. International Journal of Computer Applications 98(6):1-6, July 2014. Full text available. BibTeX

	author = {Ershad Sharifahmadian and Shahram Latifi},
	title = {Article: Smart Compression for Telemedicine},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {98},
	number = {6},
	pages = {1-6},
	month = {July},
	note = {Full text available}


In many applications in which a huge amount of data is transmitted, and the data is processed in real time, data compression is crucial. Here, a smart compression method based on the wavelet subbands arranging technique is proposed for telemedicine. The proposed method can effectively reduce the large amount of transmitted data, and provide real-time analysis. Moreover, if available bandwidth drops, the proposed method is capable of tuning the rate of compressed data, and different input channels are simultaneously compressed with different rates, as well as the quality of each compressed data is preserved. The proposed method is tested on selected records from the MIT-BIH arrhythmia database. Based on results, it is concluded that the proposed approach is an appropriate choice to intelligently and simultaneously compress large amount of multichannel data, is able to tune compressed data rate to preserve the required quality of output, and to use the bit capacity of every input channel efficiently.


  • Tcheou M. P. , et al. , "The compression of electric signal waveforms for smart grids: state of the art and future trends", IEEE trans. on smart grid, Vol. 5, No. 1, Jan. 2014, 291?302.
  • Cao Y. , Wu G. , and Wang H. , "A smart compression scheme for GPU-accelerated volume rendering of time-varying data", IEEE inter. conf. on virtual reality and visualization, China, Nov. 2011, 205?210.
  • Sharifahmadian E. , "Compression of vital biosignals of patient by enhanced set partitioning in hierarchical trees algorithm," World congress on medical physics and biomedical engineering (WC2009) & IFMBE, Sept. 2009, 86?87.
  • Sharifahmadian E. , Choi Y. , Latifi S. , Dascalu S. , and Harris F. C. , "Wavelet-based compression of multichannel climate data" SPIE international conference on sensing technology and its applications; Vol. 9124, USA, May 2014, B1?B6.
  • Sharifahmadian E. , and Pooyan M. , "Wavelet-based compression of patient's medical image and ECG signals using the enhanced set partitioning in hierarchical trees algorithm," BMES annual fall meeting, Missouri, USA, Oct. 2008, Published.
  • Sharifahmadian E. , Choi Y. , Latifi S. , "New sensors could evaluate astronauts' vital signs in flight" SPIE newsroom, Feb. 2014, DOI: 10. 1117/2. 1201402. 005321.
  • Jalaleddine S. M. S. , Hutchens C. , et al. , "ECG data compression techniques-A unified approach," IEEE transaction on biomedical engineering, vol. BME-37, Apr. 1990, 329?343.
  • Nave G. , Cohen A. , "ECG compression using long-term prediction," IEEE trans. on biomedical engineering, vol. 40, Sept. 1993, 877?885.
  • Miaou S. G. , and Yen H. L. , "Quality driven gold washing adaptive vector quantization and its application to ECG data compression," IEEE trans. on biomedical eng. , vol. 47, Feb. 2000, 209?218.
  • http://www. cc. gatech. edu/~dovrolis/bw-est/pathrate. html
  • Dovrolis C. , Ramanathan P. , and Moore D. , "Packet-dispersion techniques and a capacity-estimation methodology", IEEE/ACM Trans. on networking, Vol. 12, No. 6, Dec. 2004, 963?977.
  • Sharifahmadian E. , and Latifi S. , "Cognitive congestion control for data portals with variable link capacity" International journal of communications, network and system sciences, Vol. 5 No. 8, 2012, 481?489.
  • Sharifahmadian E. , and Latifi S. , "A cognitive approach for congestion control in high traffic networks" IEEE international conference on systems engineering, USA, 2011, 263?266.
  • Sharifahmadian E. , Choi Y. , Latifi S. , "Multichannel data compression using wavelet subbands arranging technique," International journal of computer application, Vol. 91, No. 4, Apr. 2014, 17?22.
  • Shaifahmadian, E. , Choi, Y. , and Latifi, S. , "Wavelet-based identification of objects from a distance" SPIE international conference on signal processing, sensor/information fusion, and target recognition XXIII, Vol. 9191, 2014, 1B1?1B8.
  • Sharifahmadian E. , "Wavelet compression of multichannel ECG data by enhanced set partitioning in hierarchical trees algorithm," 28th IEEE EMBS annual international conference, New York City, USA, Sept. 2006, 5238?5243.
  • Mallat S. G. , "A theory for multiresolution signal decomposition: The wavelet representation," IEEE trans. on pattern analysis and machine intelligence, vol. 11, July 1989, 674?693.
  • http://www. physionet. org/physiobank/database/mitdb/
  • Thakor N. V. , Webster J. G. , and Tompkins W. J. , "Estimation of QRS complex power spectra for design of a QRS filter," IEEE Trans. Biomed. Eng. , vol. 31, Nov. 1984, 702?706.
  • Cohen A. , Daubechies I. , and Feauveau J. C. , "Biorthogonal bases of compactly supported wavelets," Communications on pure and applied mathematics, vol. 45, 1992, 485?560.
  • Bailey J. J. , Berson A. S. , et al. , "Recommendations for standardization and specifications in automated electrocardiography-Bandwidth and digital signal processing," Circulation, vol. 81, Feb. 1990, 730?739.