A deep learning-based framework For ECG signal denoising based on stacked cardiac cycle tensor
A Rasti-Meymandi, A Ghaffari - Biomedical Signal Processing and Control, 2022 - Elsevier
The Electrocardiogram (ECG) signal is one of the frequently used non-invasive
physiological measurement techniques for heart diagnosis. However, ECG signal is often …
physiological measurement techniques for heart diagnosis. However, ECG signal is often …
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 …
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 …
Algorithm and VLSI architecture design of low-power SPIHT decoder for mHealth applications
JH Hsieh, MJ Shih, XH Huang - IEEE transactions on …, 2018 - ieeexplore.ieee.org
A real-time cost and power-efficient (CPE) set partitioning in hierarchical trees (SPIHT)
decoder design with low hardware complexity and low-power dissipation is introduced in …
decoder design with low hardware complexity and low-power dissipation is introduced in …
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 …
Computational efficient method for ECG signal compression based on modified SPIHT technique
In this paper, an improved method for electrocardiogram (ECG) signal compression using
Set Partitioning in Hierarchical Trees (SPIHT) algorithm is proposed. ECG signals are …
Set Partitioning in Hierarchical Trees (SPIHT) algorithm is proposed. ECG signals are …
An efficient compression system for ECG signal using QRS periods and CAB technique based on 2D DWT and Huffman coding
In this paper, a ECG compression system is presented based on two-dimensional discrete
wavelet transform (2D DWT) and Huffman coding technique. In this method, two different …
wavelet transform (2D DWT) and Huffman coding technique. In this method, two different …
[PDF][PDF] Performance analysis of ecg signal compression using spiht
In this paper, we analyze the performance of electrocardiogram (ECG) signal compression
by comparing original and reconstructed signal on two problems. First, automatic sleep …
by comparing original and reconstructed signal on two problems. First, automatic sleep …