Cardiovascular disease (CVD) is one of the most widespread health problems with
unpredictable and life-threatening consequences. The electrocardiogram (ECG) is …

The assessment of ECG signal quality after compression is an essential part of the
compression process. Compression facilitates the signal archiving, speeds up signal …

In this paper, a novel Wavelet Energy based diagnostic distortion (WEDD) measure is
proposed to assess the reconstructed signal quality for ECG compression algorithms. WEDD …

In this paper, an ECG compression method based on beta wavelet using lossless encoding
technique is presented. Wavelet based compression techniques minimize the compression …

In this paper, a new Wavelet threshold based ECG signal compression technique using
uniform scalar zero zone quantizer (USZZQ) and Huffman coding on differencing …

In spite of development in digital storage and communication technology, the demand for
data compression is ever increasing. The ECG data requires about 40–50 MB per channel …

This paper presents an ECG compression algorithm based on the optimal selection of
wavelet filters and threshold levels in different subbands that achieve maximum data volume …

Maintaining reconstructed signals at a desired level of quality is crucial for lossy ECG data
compression. Wavelet-based approaches using a recursive decomposition process are …

An improvement of a discrete cosine transform (DCT)-based method for electrocardiogram
(ECG) compression is presented. The appropriate use of a block based DCT associated to a …

A new electrocardiogram (ECG) compression method based on the combination of the
empirical mode decomposition (EMD) and the wavelet transform is presented. ECG signal …