Pattern Recognition
Comparison of envelope extraction algorithms for cardiac sound signal segmentation
Expert Systems with Applications: An International Journal
ECG Signal Compression using Discrete Sinc Interpolation
ICISIP '05 Proceedings of the 2005 3rd International Conference on Intelligent Sensing and Information Processing
Design of a telemedicine system using a mobile telephone
IEEE Transactions on Information Technology in Biomedicine
A wireless PDA-based physiological monitoring system for patient transport
IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Information Technology in Biomedicine
Quality assessment of ECG compression techniques using a wavelet-based diagnostic measure
IEEE Transactions on Information Technology in Biomedicine
Portable real-time homecare system design with digital camera platform
IEEE Transactions on Consumer Electronics
Image subband coding using context-based classification and adaptive quantization
IEEE Transactions on Image Processing
Adaptive wavelet thresholding for image denoising and compression
IEEE Transactions on Image Processing
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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.