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

Content Provider	IEEE Xplore Digital Library
Author	Gurkan, H. Guz, U. Yarman, B.S.
Copyright Year	2005
Description	Author affiliation: Dept. of Electron. Eng., Isik Univ., Istanbul, Turkey (Gurkan, H.; Guz, U.)
Abstract	In this paper, a new method to compress electrocardiogram (ECG) signals 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 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, the 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 achieves 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 results in considerable saving in the transmission band.
Starting Page	1334
Ending Page	1337
File Size	225891
Page Count	4
File Format	PDF
ISBN	0780388348
DOI	10.1109/ISCAS.2005.1464842
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-23
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrocardiography Data compression Data engineering Least squares approximation Telephony Rhythm Algorithm design and analysis Discrete cosine transforms Karhunen-Loeve transforms Root mean square
Content Type	Text
Resource Type	Article

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