A 2-D ECG compression algorithm based on wavelet transform and vector quantization
Digital Signal Processing
Wavelet-based hybrid ECG compression technique
Analog Integrated Circuits and Signal Processing
ECG signal compression using 2D wavelet foveation
Proceedings of the 2009 International Conference on Hybrid Information Technology
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Two dimensional ECG compression using SPIHT and SEC
WAMUS'06 Proceedings of the 6th WSEAS international conference on Wavelet analysis & multirate systems
Modelling and Simulation in Engineering
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JPEG2000 is the latest international standard for compression of still images. Although the JPEG2000 codec is designed to compress images, we illustrate that it can also be used to compress other signals. As an example, we illustrate how the JPEG2000 codec can be used to compress electrocardiogram (ECG) data. Experiments using the MIT-BIH arrhythmia database illustrate that the proposed approach outperforms many existing ECG compression schemes. The proposed scheme allows the use of existing hardware and software JPEG2000 codecs for ECG compression, and can be especially useful in eliminating the need for specialized hardware development. The desirable characteristics of the JPEG2000 codec, such as precise rate control and progressive quality, are retained in the presented scheme. The goal of this paper is to demonstrate the ECG application as an example. This example can be extended to other signals that exist within the consumer electronics realm.