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 …

Electrocardiogram (ECG) contains the information about the contraction and relaxation of
heart chambers. This diagnostic information will change due to various cardiovascular …

In this paper, the multidimensional multiscale parser (MMP) is employed for encoding
electromyographic signals. The experiments were carried out with real signals acquired in …

Electrocardiogram (ECG) records the electrical potentials of the heart. ECG reveals a lot of
useful information on the normal and abnormal conditions of heart. It is very difficult to …

In this paper, we exploit a recently introduced coding algorithm called multidimensional
multiscale parser (MMP) as an alternative to the traditional transform quantization-based …

Background Recently, two-dimensional techniques have been successfully employed for
compressing surface electromyographic (SEMG) records as images, through the use of …

In this work, we further develop the multidimensional multiscale parser (MMP) algorithm, a
recently proposed universal lossy compression method which has been successfully …

A novel method is proposed to model ECG signals by means of" predefined signature and
envelope vector sets (PSEVS)." On a frame basis, an ECG signal is reconstructed by …

Recently, electromyographic records have been rearranged into two-dimensional arrays
and encoded with image compressors, in the same way as image data. However, as a …

This paper presents the results of a multiscale pattern-matching-based ECG encoder, which
employs simple preprocessing techniques for adapting the input signal. Experiments carried …