SS Kumar, P Ramachandran - Applied Sciences, 2022 - mdpi.com
Nowadays, healthcare is becoming very modern, and the support of Internet of Things (IoT) is inevitable in a personal healthcare system. A typical personal healthcare system acquires …
The deployment of wireless health wearables is increasing in the framework of mobile health monitoring. The power and processing efficiencies with data compression are key …
Coronary artery disease (CAD) can cause serious conditions such as severe heart attack, heart failure, and angina in patients with cardiovascular problems. These conditions may be …
S Mian Qaisar, A Subasi - Physical and Engineering Sciences in Medicine, 2020 - Springer
An approach is proposed for the detection of chronic heart disorders from the electrocardiogram (ECG) signals. It utilizes an intelligent event-driven ECG signal …
Methods of the electrocardiography (ECG) signal features extraction are required to detect heart abnormalities and different kinds of diseases. However, different artefacts and …
Mobile healthcare is an emerging technique for clinical applications. It is usually based on cloud-connected biomedical implants. In this context, a novel solution is presented for the …
M Melek, A Khattab - Biomedical Signal Processing and Control, 2021 - Elsevier
Electrocardiogram (ECG) signal compression is a vital signal processing area, especially with the growing usage of wireless body sensor networks (WBSN). ECG signals need to be …
In practical electrocardiogram (ECG) monitoring, there are some challenges in reducing the data burden and energy costs. Therefore, compressed sensing (CS) which can conduct …
In this paper, a one-dimensional complex Discrete Anamorphic Stretch Transform (DAST) is proposed for precompression of the ECG signal. Three 1D kernels (Linear, Sublinear, and …