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

Spectrum sensing is an important technological requirement in the quest to realize dynamic
spectrum access (DSA) in today's wireless world. Cognitive radio (CR) has been identified …

In this article, a highly adaptable method the empirical wavelet transform (EWT) is utilized to
compress electrocardiogram (ECG) data. EWT and run-length encoding (RLE)-based …

An electrocardiogram (ECG) is a recording of the heart's rhythm and electrical activity over a
period of time that can be obtained through an electrocardiography process. Through this …

Abnormal behavior of heart muscles generates irregular heartbeats which are collectively
known as arrhythmia. Classification of arrhythmia beats plays a prominent role in …

Electroencephalography (EEG) signal is vital for the detection and analysis of brain-related
disorders. Brain waves are non-sparse in either in time or many other transform domains. In …

Computers with their growing demands have their applicability in every field, one of the
applications is the computer vision, where the function of an human eye has been replaced …

Electrocardiogram (ECG) signals are widely used by cardiologists for the early detection of
cardiovascular diseases (CVDs). In the early detection of CVDs, long-term ECG data is used …

Este artículo presenta el desarrollo y evaluación de un algoritmo para la compresión de
señales electrocardiográficas fetales, tomadas de manera superficial sobre el abdomen …

In this study, the researcher proposed a new approach for the compression of ECG signals
by reducing the ECG data size for storage purposes which could speedily transmit data from …