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Secure Electrocardiograph Communication Through Discrete Wavelet Transform

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Proceedings of the International Conference on Soft Computing Systems

Abstract

An ECG signal produces the electrical movements of the heart. In this paper, a secure way to communicate ECG data has been attempted by embedding it into the high frequency plane obtained by performing discrete wavelet transform using Haar wavelet on a color image. The PSNR and MSE metrics have been calculated and the ECG data has also been successfully retrieved by isolating the high frequency plane and extracting the data from it.

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References

  1. Ibrahim R, Kuan TS (2011) PRIS: Image processing tool for dealing with criminal cases using steganography technique. In: 2011 Sixth International Conference on Digital Information Management (ICDIM), pp 193, 198, 26–28 Sept 2011

    Google Scholar 

  2. Liu T, Pang C (2008) Eye-gaze tracking research based on image processing. In: Congress on Image and Signal Processing, 2008, CISP ‘08, vol 4, pp 176, 180, 27–30 May 2008

    Google Scholar 

  3. Smith RWM (1998) A generic scaleable image processing architecture for real-time military applications. High Performance Architectures for Real-Time Image Processing (Ref. No. 1998/197), IEE Colloquium on, pp 3/1, 3/6, 12 Feb 1998

    Google Scholar 

  4. Gu Y, Qian Z, Chen J, Dana B, Ramanujam N, Britton C (2002) High-resolution three-dimensional scanning optical image system for intrinsic and extrinsic contrast agents in tissue. Rev Sci Instrum 73(1):172–178

    Article  Google Scholar 

  5. (2015) Morphological covariance in anatomical MRI scans can identify discrete neural pathways in the brain and their disturbances in persons with neuropsychiatric disorders. NeuroImage 111:215–227

    Google Scholar 

  6. Juwono FH, Putra RS, Gunawan D (2014) A study on peak-to-average power ratio in dwt-ofdm systems. TELKOMNIKA Indonesian J Electric Eng 12(5):3955–3961

    Article  Google Scholar 

  7. Ye Z, Mohamadian, H, Ye Y (2009) Quantitative effects of discrete wavelet transforms and wavelet packets on aerial digital image denoising. In: 2009 6th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE, pp 1, 5, 10–13 Jan 2009

    Google Scholar 

  8. Hasan MM, Singh SS PAPR analysis of FFT and wavelet based OFDM systems for wireless communications. UITS, Dhaka

    Google Scholar 

  9. Moholkar SV, Deshmukh A (2014) PAPR analysis of FFT and wavelet based OFDM systems. Int J Electron Commun Comput Eng 5(4), Technovision-2014. ISSN 2249–071X

    Google Scholar 

  10. Wang J-W, Le NT, Wang C-C, Lee J-S (2015) Enhanced ridge structure for improving fingerprint image quality based on a wavelet domain. IEEE Signal Process Lett 22(4)

    Google Scholar 

  11. Ali M, Wook Ahn C (2015) Comments on Optimized gray-scale image watermarking using DWT-SVD and Firefly Algorithm. Short Communication, Expert Syst Appl 42:2392–2394

    Article  Google Scholar 

  12. Tang H, Tong D, Dong Bao X, Dillenseger J-L (2015) A new stationary gridline artifact suppression method based on the 2D discrete wavelet transform. Med Phys 42:1721. doi:10.1118/1.4914861

    Article  Google Scholar 

  13. (2014) Design of wireless waist-mounted vital sensor node for athletes performance evaluation of microcontrollers suitable for signal processing of ECG signal at waist part. Biowireless. 978-1-4799-2316-8/14/$31.00 © 2014 IEEE

    Google Scholar 

  14. Ratna Kumari V, Subba Rao Garu P (2014) Haar wavelet-based ofdm system with reduced paper for different modulation techniques Bitra. IJECT 5(3)

    Google Scholar 

  15. Kehan Z, Mingchui D (2015) Signal-to-noise ratio estimation based on Haar wavelet for cardiovascular bio-signals in web-based e-healthcare system. Multimed Tools Appl. Springer Science+Business Media NewYork. doi:10.1007/s11042-015-2544-2

    Google Scholar 

  16. Majak J, Shvartsman BS, Kirs M, Pohlak M, Herranen H (2015) Convergence theorem for the Haar wavelet based discretization method. Compos Struct 126:227–232

    Article  Google Scholar 

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Correspondence to V. Sai Malathi Anandini .

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Sai Malathi Anandini, V., Hemanth Gopalakrishna, Y., Raajan, N.R. (2016). Secure Electrocardiograph Communication Through Discrete Wavelet Transform. In: Suresh, L., Panigrahi, B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 397. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2671-0_44

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  • DOI: https://doi.org/10.1007/978-81-322-2671-0_44

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2669-7

  • Online ISBN: 978-81-322-2671-0

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