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 …
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) …
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 …
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 …
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 …
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
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 …
minimize the data storage requirement and transmission cost. Hence, this paper presents a …
Computationally efficient cosine modulated filter bank design for ECG signal compression
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 …
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 …
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 …
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
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 …
arrhythmias on time and treat them. In this project, three CNN networks are designed to …