Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …

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

When investing in financial markets it is crucial to determine a trading signal that can provide
the investor with the best entry and exit points of the financial market, however this is a …

Wireless body sensor networks (WBSN) hold the promise to be a key enabling information
and communications technology for next-generation patient-centric telecardiology or mobile …

The heart is one of the most important organs of the human body. It circulates blood
throughout the human body and delivers oxygen and nutrients to all the organs for …

Modern wearable Internet of Things (IoT) devices enable the monitoring of vital parameters
such as heart or respiratory (RESP) rates, electrocardiography (ECG) …

We propose a novel scheme for signal compression based on the discrete wavelet packet
transform (DWPT) decompositon. The mother wavelet and the basis of wavelet packets were …

This paper presents a novel electrocardiogram (ECG) compression method for e-health
applications by adapting an adaptive Fourier decomposition (AFD) algorithm hybridized with …

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 …

A two-dimensional (2-D) wavelet-based electrocardiogram (ECG) data compression method
is presented which employs a modified set partitioning in hierarchical trees (SPIHT) …