Background and objective In the field of biomedical, it becomes necessary to reduce data
quantity due to the limitation of storage in real-time ambulatory system and telemedicine …

In the field of biomedical, it has become necessary to reduce data quantity due to the
limitation of storage in real-time ambulatory system and Tel-e-medicine system. Data …

Population health monitoring based on the Internet of Medical Things (IoMT) is becoming an
important application trend healthcare improvement. This work aims to develop an …

Electrocardiogram signal (ECG) is considered a significant biological signal employed to
diagnose heart diseases. An ECG signal allows the demonstration of the cyclical contraction …

In this study, an inter‐and intra‐beat correlation‐based compression technique for
electrocardiogram (ECG) signal is proposed using singular coefficient truncation, based on …

In this paper, a one-dimensional ECG signal is decomposed as symmetry tree structure at
each level using discrete wavelet transforms which outcomes from a larger quantity of …

This study presents an improved technique for compression of electrocardiogram (ECG)
signals, based on beat correlation of signal and principle component (PC) analysis, for ECG …

The electrocardiogram (ECG) is a salient signal that is commonly utilized to diagnose heart
patients. The recording of ECG signals generates a large amount of data when continuous …

In the biomedical field, electrocardiogram (ECG) recording produces a large amount of data,
which are stored in a digitized format for monitoring and diagnosis purposes. In this regard, it …

In this paper, an electrocardiogram (ECG) signal compression is proposed based on the
wavelet packet transform (WPT) that explore the multi-resolution analysis (MRA). An ECG …