An efficient ECG data compression technique based on predefined signature and envelope vector banks

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Tarih

2005

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IEEE

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info:eu-repo/semantics/closedAccess

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Özet

In this paper, a new method to compress ElectroCardioGram (ECG) Signal by means of "Predefined Signature and Envelope Vector Banks-PSEVB" is presented. In this work, on a frame basis, any ECG signal is modeled by multiplying three parameters as called the Predefined Signature Vector, Predefined Envelope Vector, and Frame-Scaling Coefficient. It has been demonstrated that the predefined signature vectors and predefined envelope vectors constitute a "PSEVB" to describe any measured ECG signal. In this case, ECG signal for each frame is described in terms of the two indices "R" and "K" of PSEVB and the frame-scaling coefficient. The new compression method achieve good compression ratios with low level reconstruction error while preserving diagnostic information in the reconstructed ECG signal. Furthermore, once PSEVB are stored on each communication node, transmission of ECG signals reduces to the transmission of indexes "R" and "K" of PSEVB and the frame-scaling coefficient which also result in considerable saving in the transmission band.

Açıklama

Anahtar Kelimeler

Algorithm design and analysis, Data compression, Data engineering, Discrete cosine transforms, Electrocardiography, Karhunen-Loeve transforms, Least squares approximation, Rhythm, Root mean square, Telephony, ECG data compression technique, ECG signal transmission, PSEVB, Compression ratio, Electrocardiograms, Envelope vector banks, Frame-Scaling coefficient, Low reconstruction error, Predefined envelope vector, Predefined signature vector, Reconstructed signal diagnostic information, Preservation, Medical signal processing, Signal reconstruction, Signal representation, Electrochromic devices, Signal processing, Vectors, A-frames, Communication nodes, Compression methods, Compression ratios, Diagnostic information, ECG data compression, ECG signals, Electrocardiogram signal, Low level, Reconstruction error, Scaling coefficients, Signature vectors, Three parameters, Transmission band

Kaynak

2005 IEEE International Symposium on Circuits and Systems

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Gürkan, H., Güz, Ü. & Yarman, B. S. B. (2005). An efficient ECG data compression technique based on predefined signature and envelope vector banks. Paper presented at the 2005 IEEE International Symposium on Circuits and Systems, 1334-1337. doi:10.1109/ISCAS.2005.1464842