A Novel Method to Represent ECG Signals Via Predefined Personalized Signature and Envelope Functions
ISIK UNIV ISTANBUL (TURKEY) DEPT OF ELECTRONICS
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In this paper, a new method to model ECG signals by means of Predefined Personalized Signature and Envelope Functions is presented. ECG signals are somewhat unique to a person. Moreover, it presents quasi-stationary behavior. Therefore in this work, on a frame basis, personal ECG signals Xsub it is modeled by the form of Xsub it Csub iphisub it alphasub it. In this model, phisub it is defined as the Personalized Signature Function PSF alphasub it is referred to as Personalized Envelope Function PEF and Csub i is called the Frame-Scaling Coefficient FSC. It has been demonstrated that for each person, the sets Phiphisub kt and Alphaalphasub rt constitute a Predefined Personalized Functional Bases or Banks PPFB to describe any measured ECG signal. Almost optimum forms of PPFB, namely alphasub rt, phisub kt pairs are generated in the Least Mean Square LMS sense. Thus, ECG signal for each frame is described in terms of the two indices R and K of PPFB and the frame-scaling coefficient Csub i. It has been shown that the new method of modeling provides significant data compression. Furthermore, once PPFB are stored on each communication node, transmission of ECG signals reduces to the transmission of indexes R and K of ALPHASUB RT, PHISUB KT pairs and the coefficients Csub i, which also result in considerable saving in the transmission band.
- Anatomy and Physiology
- Numerical Mathematics