Wavelet-based electrocardiogram signal compression methods and their performances: A prospective review
MS Manikandan, S Dandapat - Biomedical Signal Processing and Control, 2014 - Elsevier
Cardiovascular disease (CVD) is one of the most widespread health problems with
unpredictable and life-threatening consequences. The electrocardiogram (ECG) is …
unpredictable and life-threatening consequences. The electrocardiogram (ECG) is …
Electrocardiogram data compression techniques for cardiac healthcare systems: A methodological review
CK Jha, MH Kolekar - Irbm, 2022 - Elsevier
Abstract Objective: Globally, cardiovascular diseases (CVDs) are one of the most leading
causes of death. In medical screening and diagnostic procedures of CVDs …
causes of death. In medical screening and diagnostic procedures of CVDs …
Hybrid method based on singular value decomposition and embedded zero tree wavelet technique for ECG signal compression
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 …
quantity due to the limitation of storage in real-time ambulatory system and telemedicine …
Electrocardiogram signal compression based on singular value decomposition (SVD) and adaptive scanning wavelet difference reduction (ASWDR) technique
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 …
limitation of storage in real-time ambulatory system and Tel-e-medicine system. Data …
ECG signal compression based on optimization of wavelet parameters and threshold levels using evolutionary techniques
The ECG (electrocardiogram) signals are an indicator of the electrical activity of the heart.
Given its noninvasive nature ECG are an extremely popular medium for heart checkups …
Given its noninvasive nature ECG are an extremely popular medium for heart checkups …
Constrained ECG compression algorithm using the block-based discrete cosine transform
R Benzid, A Messaoudi, A Boussaad - Digital Signal Processing, 2008 - Elsevier
Presented is a novel method dedicated to ECG compression. It uses the block-based
discrete cosine transform (DCT) and considers the percent root-mean-square difference …
discrete cosine transform (DCT) and considers the percent root-mean-square difference …
Electrocardiogram signal compression using singular coefficient truncation and wavelet coefficient coding
In this study, an inter‐and intra‐beat correlation‐based compression technique for
electrocardiogram (ECG) signal is proposed using singular coefficient truncation, based on …
electrocardiogram (ECG) signal is proposed using singular coefficient truncation, based on …
A medical-grade wireless architecture for remote electrocardiography
In telecardiology, electrocardiogram (ECG) signals from a patient are acquired by sensors
and transmitted in real time to medical personnel across a wireless network. The use of IEEE …
and transmitted in real time to medical personnel across a wireless network. The use of IEEE …
Dual-tree sparse decomposition of DWT filters for ECG signal compression and HRV analysis
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 …
each level using discrete wavelet transforms which outcomes from a larger quantity of …
Efficient compression technique based on temporal modelling of ECG signal using principle component analysis
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 …
signals, based on beat correlation of signal and principle component (PC) analysis, for ECG …