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) …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …