M. Sabarimalai Manikandan
K. P. Soman
ABSTRACT
In this paper, we present a quality driven PCG signal coding scheme for wireless cardiac patient monitoring applications. The proposed quality driven codec is designed based on the wavelet-based compression method and the wavelet energy based diagnostic distortion (WEDD) measurement criterion. The proposed WEDD measure is the weighted percentage root mean square difference between the wavelet subband coefficients of the original and compressed signals with weights equal to the relative wavelet subband energies of the corresponding subbands. The WEDD measure appears to be a correct representation of the amount of signal distortion at all the subbands, and robust to insignificant errors in some bands. The performance of the proposed method is validated using the PCG signal blocks taken from the qdheart database and CAHM database PCG records which include many different valvular pathologies such as normal sounds, late systolic, ejection click, tricuspid regurgitation, diastolic aortic insufficiency, murmurs, and noises. Results showed that the performance of the WEDD criterion outperforms the PRDw and WWPRD criteria. For WEDD=4%, the maximum compression ratio of 186.07 was achieved for the test signal from the Diastolic Fixed S2 Split II record and the minimum compression ratio of 21.16 is obtained for the signal from the Diastolic Atrial Septal Defect record.
- R. J. Lehner, R. M. Rangayyan, "A three-channel microcomputer system for segmentation and characterization of the phonocardiogram", IEEE Trans. Biomed. Eng., vol. 34, no. 6, pp. 485--489, 1987Google Scholar
Cross Ref
- K. Phua, J. Chen, T. H. Dat, L. Shue, "Heart sound as a biometric", Pattern Recognition, vol. 41, pp. 906--919, 2008. Google ScholarDigital Library
- M. Sabarimalai Manikandan and K P Soman, "Robust heart sound activity detection in noisy environments," Electronics Letters, vol. 46, no. 16, August 2010.Google ScholarCross Ref
- S. Choi, Z. Jiang, "Comparison of envelope extraction algorithms for cardiac sound signal segmentation", Expert Systems with Applications, vol. 34, pp. 1056--1069, 2008. Google ScholarDigital Library
- B. Woodward, R. S. H. Istepanian, C. I. Richards, "Design of a telemedicine system using a mobile telephone", IEEE Trans. Inform. Technol. Biomed., vol. 5, pp. 13--15, 2001. Google ScholarDigital Library
- Y. H. Lin, I. C. Jan, P. C. I. Ko, Y. Y. Chen, J. M. Wong, G. J. Jan, "A wireless PDA-based physiological monitoring system for patient transport", IEEE Trans. Inf. Technol. Biomed., vol. 8, no. 4, pp. 439--447, 2004. Google ScholarDigital Library
- C. H. Salvador, M. P. Carrasco, M. A. González de Mingo, A. M. Carrero, J. M. Montes, L. S. Martín, M. A. Cavero, I. F. Lozano, J. L. Monteagudo, "Airmed-Cardio: A GSM and internet services-based system for out-of-hospital follow-up of cardiac patients", IEEE Trans. Inf. Technol. Biomed., vol. 9, no. 1, pp. 73--85, 2005. Google ScholarDigital Library
- M. F. A. Rasid, B. Woodward, "Bluetooth telemedicine processor for multichannel biomedical signal transmission via mobile cellular networks", IEEE Trans. Inf. Technol. Biomed., vol. 9, no. 1, pp. 35--43, 2005. Google ScholarDigital Library
- M. Sabarimalai Manikandan, S. Dandapat, "PCG Signals Compression Method Based on Wavelet Transform and SPIHT Algorithm", in Proc. IEEE Indian Annual Conference, pp. 150--156, 2007.Google Scholar
- J. M. Alajarín, R. R. Merino, "Wavelet and wavelet packet compression of phonocardiograms", IEE Electron. lett., vol. 40, no. 17, pp. 1040--1041, 2004.Google ScholarCross Ref
- W. C. Kao, W. H. Chen, C. K. Yu, C. M. Hong, S. Y. Lin, "Portable real-time homecare system design with digital camera platform," IEEE Trans. Consum. Electron., vol. 51, no. 4, pp. 1035--1041, 2005. Google ScholarDigital Library
- F J. Toledo-Moreo, A. Legaz-Cano, J. J. Martlinez-Alvarez J. M. Alajarin, R. R. Merino, "Compression system for the phonocardiographic Signal", in Proc. Int. Conf. Field Programmable Logic and Applications, pp. 770--773, 2007.Google Scholar
- M. Sabarimalai Manikandan, S. Dandapat, "ECG Signal Compression using Discrete Sinc Interpolation", in Proc. 3rd IEEE Int. Conf. Intelligent Sensing and Information Processing, pp. 14--19, 2005. Google ScholarDigital Library
- S. G. Chang, B. Yu, M. Vetterli, "Adaptive wavelet thresholding for image denoising and compression", IEEE Trans. Image Process., vol. 9, no. 9, pp. 1532--1546, 2000. Google ScholarDigital Library
- Y. Yoo, A. Ortega, B. Yu, "Image subband coding using context-based classification and adaptive quantization", IEEE Trans. Image Process., vol. 8, no. 12, pp. 1702--1715, 1999. Google ScholarDigital Library
- M. Sabarimalai Manikandan, S. Dandapat, "Wavelet energy based diagnostic distortion measure for ECG", Biomed. Signal Process. and Control., vol. 2, no. 2, pp. 80--96, 2007.Google ScholarCross Ref
- A. S. Al-Fahoum, "Quality assessment of ECG compression techniques using a wavelet-based diagnostic measure," IEEE Trans. Information Technology in Biomedicine, vol. 10, no. 1, pp. 182--191, 2006. Google ScholarDigital Library
- qdheart PCG database available at http://www.qdheart.com/cgz/jcxt/tyvf/tyvf1.htm.Google Scholar
- eGeneralMedical PCG database at http://egeneralmedical.comGoogle Scholar
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