Electrocardiogram (ECG) data compression reduced the storage requirements to develop a
more efficient telecardiology system for cardiac analysis and diagnosis. The ECG …

The severe challenges of the skyrocketing healthcare expenditure and the fast aging
population highlight the needs for innovative solutions supporting more accurate, affordable …

This paper reports an efficient electrocardiogram (ECG) data compression algorithm for tele-
monitoring of cardiac patients from rural area, based on combination of two encoding …

In this paper, a joint use of the discrete cosine transform (DCT), and differential pulse code
modulation (DPCM) based quantization is presented for predefined quality controlled …

An efficient electrocardiogram (ECG) compression algorithm provides two-fold benefits: first,
it enlarges the storage capability and second, it enhances the transmission efficiency of the …

In this work, a multi-lead Electrocardiogram (ECG) data compression using principal
component analysis (PCA) combined with a machine learning technique is proposed to …

This study proposes an algorithm for electrocardiogram (ECG) data compression using the
conventional discrete Fourier transform. The coefficients are calculated using sine and …

Advancements in electronics and miniaturized device fabrication technologies have enabled
simultaneous acquisition of multiple biosignals (MBioSigs), but the area of compression of …

Cardiac related biosignals modelling is very important for detecting, classification,
compression and transmission of such health-related signals. This paper introduces a new …

Electrocardiogram (ECG) compression finds wide application in various patient monitoring
purposes. Quality control in ECG compression ensures reconstruction quality and its clinical …