ECG data compression using wavelets and higher order statistics methods.

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dc.contributor.authorIstepanian, R S
dc.contributor.authorHadjileontiadis, L J
dc.contributor.authorPanas, S M
dc.date.accessioned2020-02-12T12:06:58Z
dc.date.available2020-02-12T12:06:58Z
dc.date.issued2001-06-25
dc.description.abstractThis paper evaluates the compression performance and characteristics of two wavelet coding compression schemes of electrocardiogram ECG signals suitable for real time telemedical applications The two proposed methods namely the optimal zonal wavelet coding OZWC method and the wavelet transform higher order statistics based coding WHOSC method are used to assess the ECG compression issues The WHOSC method employs higher order statistics HOS and uses multirate processing with the autoregressive HOS model technique to provide increasing robustness to the coding scheme The OZWC algorithm used is based on the optimal wavelet based zonal coding method developed for the class of discrete Lipschitizian signals Both methodologies were evaluated using the normalized rms error NRMSE and the average compression ratio CR and bits per sample criteria applied on abnormal clinical ECG data samples selected from the MIT BIH database and the Creighton University Cardiac Center database Simulation results illustrate that both methods can contribute to and enhance the medical data compression performance suitable for a hybrid mobile telemedical system that integrates these algorithmic approaches for real time ECG data transmission scenarios with high CRs and low NRMSE ratios especially in low bandwidth mobile systems
dc.identifier.urihttp://dx.doi.org/Not available
dc.identifier.urihttps://lib.digitalsquare.io/xmlui/handle/123456789/59550
dc.relation.uriIEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society
dc.titleECG data compression using wavelets and higher order statistics methods.en
dcterms.abstractThis paper evaluates the compression performance and characteristics of two wavelet coding compression schemes of electrocardiogram ECG signals suitable for real time telemedical applications The two proposed methods namely the optimal zonal wavelet coding OZWC method and the wavelet transform higher order statistics based coding WHOSC method are used to assess the ECG compression issues The WHOSC method employs higher order statistics HOS and uses multirate processing with the autoregressive HOS model technique to provide increasing robustness to the coding scheme The OZWC algorithm used is based on the optimal wavelet based zonal coding method developed for the class of discrete Lipschitizian signals Both methodologies were evaluated using the normalized rms error NRMSE and the average compression ratio CR and bits per sample criteria applied on abnormal clinical ECG data samples selected from the MIT BIH database and the Creighton University Cardiac Center database Simulation results illustrate that both methods can contribute to and enhance the medical data compression performance suitable for a hybrid mobile telemedical system that integrates these algorithmic approaches for real time ECG data transmission scenarios with high CRs and low NRMSE ratios especially in low bandwidth mobile systems
dcterms.contributorIstepanian, R S
dcterms.contributorHadjileontiadis, L J
dcterms.contributorPanas, S M
dcterms.identifierhttp://dx.doi.org/Not available
dcterms.relationIEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society
dcterms.titleECG data compression using wavelets and higher order statistics methods.en
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