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 …

Empirical mode decomposition and wavelet transform based ECG data compression scheme

CK Jha, MH Kolekar - Irbm, 2021 - Elsevier
Objective In health-care systems, compression is an essential tool to solve the storage and
transmission problems. In this regard, this paper reports a new electrocardiogram (ECG) …

Electrocardiogram data compression using DCT based discrete orthogonal Stockwell transform

CK Jha, MH Kolekar - Biomedical Signal Processing and Control, 2018 - Elsevier
This paper reports a novel electrocardiogram (ECG) data compression algorithm which
employs DCT based discrete orthogonal Stockwell transform. Dead-zone quantization is …

Tunable Q-wavelet based ECG data compression with validation using cardiac arrhythmia patterns

CK Jha, MH Kolekar - Biomedical Signal Processing and Control, 2021 - Elsevier
The acquisition of longer electrocardiogram (ECG) signals is an essential step of the recent
medical screening and diagnostic procedures. Considering the need of an efficient ECG …

An energy-efficient compression algorithm of ECG signals in remote healthcare monitoring systems

IS Fathi, MAA Makhlouf, E Osman, MA Ahmed - IEEE Access, 2022 - ieeexplore.ieee.org
Remote Healthcare Monitoring Systems (RHMs) that use ECG signals are very effective
tools for the early diagnosis of various heart conditions. However, these systems are still …

ECG data compression using modified run length encoding of wavelet coefficients for holter monitoring

MH Kolekar, CK Jha, P Kumar - IRBM, 2022 - Elsevier
Objective In cardiac patient-care, compression of long-term ECG data is essential to
minimize the data storage requirement and transmission cost. Hence, this paper presents a …

Computationally efficient cosine modulated filter bank design for ECG signal compression

S Chandra, A Sharma, GK Singh - Irbm, 2020 - Elsevier
In this work, computationally efficient and reliable cosine modulated filter banks (CMFBs) are
designed for Electrocardiogram (ECG) data compression. First of all, CMFBs (uniform and …

[HTML][HTML] Impact of misclassification rates on compression efficiency of red blood cell images of malaria infection using deep learning

Y Dong, WD Pan, D Wu - Entropy, 2019 - mdpi.com
Malaria is a severe public health problem worldwide, with some developing countries being
most affected. Reliable remote diagnosis of malaria infection will benefit from efficient …

ECG compression using optimized B-spline

MR Mohebbian, KA Wahid - Multimedia Tools and Applications, 2023 - Springer
Electrocardiogram (ECG) is widely used in the medical field due to the non-invasive
detecting of cardiac anomalies. Transmission, storage, and monitoring are necessary for all …

Designing Very Fast and Accurate Convolutional Neural Networks With Application in ICD and Smart Electrocardiograph Devices

A Keyanfar, R Ghaderi, S Nazari, B Hajimoradi… - IEEE …, 2023 - ieeexplore.ieee.org
An implantable cardioverter-defibrillator (ICD) is a device that must detect VT and VF
arrhythmias on time and treat them. In this project, three CNN networks are designed to …