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 …

Abstract Objective: Globally, cardiovascular diseases (CVDs) are one of the most leading
causes of death. In medical screening and diagnostic procedures of CVDs …

In this paper, we created new chaotic maps based on Beta function. The use of these maps
is to generate chaotic sequences. Those sequences were used in the encryption scheme …

Current medical screening and diagnostic procedures have shifted toward recording longer
electrocardiogram (ECG) signals, which have traditionally been processed on personal …

Electrocardiogram (ECG) signals are the biomedical signals commonly used in the
prognosis of cardiovascular diseases. ECG recordings need to be stored and transferred …

Objective In health-care systems, compression is an essential tool to solve the storage and
transmission problems. In this regard, this paper reports a new electrocardiogram (ECG) …

This paper reports a novel electrocardiogram (ECG) data compression algorithm which
employs DCT based discrete orthogonal Stockwell transform. Dead-zone quantization is …

Compression of an electrocardiogram (ECG) signal has given much consideration to the
researchers since the computer-aided analysis of ECG has come into being. In some critical …

The new age advancements in information technology due to materials and integrated
circuit (IC) technologies and their applications in biomedical sciences have made the …

Long-term electrocardiogram (ECG) signal monitoring necessitates a large amount of
memory space for storage, which affects the transmission channel efficiency during real-time …