Nowadays, artificial intelligence, machine learning, and deep learning are among the most
popular and applied topics in many scientific and life fields that serve humanity. This science …

Biomedical measurement systems (BMS) have provided new solutions for healthcare
monitoring and the diagnosis of various chronic diseases. With a growing demand for BMS …

The paper presents a novel method for the compressed acquisition of electrocardiographic
(ECG) signals. The proposed method is intended to be applied to Internet-of-Medical-Things …

This paper presents an innovative method for multiple lead electrocardiogram (ECG)
monitoring based on Compressed Sensing (CS). The proposed method extends to multiple …

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 …

Internet of Medical Things (IoMT) is igniting many emerging smart health applications, by
continuously streaming the big data for data-driven innovations. One critical obstacle in IoMT …

The long-term and continuous streaming of big data from medical Internet of Things (IoT),
poses a great challenge for the battery-limited tiny devices. To address this challenge, we …

This paper provides a novel compressive sensing (CS) technique to compress
electrocardiogram (ECG) signals. The proposed technique extends a dynamic compressed …

This paper proposes a dynamic method based on Compressed Sensing (CS) to reconstruct
multi-lead electrocardiography (ECG) signals in support of Internet-of-Medical-Things …

Abstract The Internet of Things (IoT) applied to the health area is in significant growth, with
companies putting effort into developing specialized devices. Remote patient healthcare …