A novel method to represent ECG signals via predefined personalized signature and envelope functions
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Dosyalar
Tarih
2001
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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 X-i(t) is modeled by the form of X-i(t) approximate to C(i)phi(i)(t) alpha(i)(t). In this model, phi(i)(t) is defined as the Personalized Signature Function (PSF); alpha(i)(t) is referred to as Personalized Envelope Function (PEF) and C-i is called the Frame-Scaling Coefficient (FSC). It has been demonstrated that for each person, the sets Phi = {phi(k)(t)} and A = {alpha(r)(t)} constitute a "Predefined Personalized Functional Bases or Banks (PPFB)" to describe any measured ECG signal. Almost optimum forms of (PPFB), namely {alpha(r)(t)}, {phi(k)(t)} 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 Ci. 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 pairs and the coefficients C-i, which also result in considerable saving in the transmission band.
Açıklama
Anahtar Kelimeler
Models, Compression, Transmission of ECG signals, Wavelet, Biological system modeling, Biomedical measurements, Data compression, Diseases, Electrocardiography, Electronic mail, Least squares approximation, Medical treatment, Power capacitors, Signal processing, ECG modeling, ECG signals representation, Almost optimum forms, Biomedical signals, Communication node, Electrodiagnostics, Envelope functions, Frame-scaling coefficient, Personalized signature, Guasistationary behavior, Transmission band saving, Physiological models
Kaynak
2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
23
Sayı
Künye
Yarman, B. S. B., Gürkan, H., Güz, Ü. & Aygün, B. (2001). A novel method to represent ECG signals via predefined personalized signature and envelope functions. Paper presented at the 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 23, 2150-2153. doi:10.1109/IEMBS.2001.1017194
