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 …

Incalculable numbers of patients in hospitals as a result of COVID-19 made the screening of
heart patients arduous. Patients who need regular heart monitoring were affected the most …

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

Compressed Sensing (CS) has been considered a very effective means of reducing energy
consumption at the energy-constrained wireless body sensor networks for monitoring the …

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

Multi-channel electrocardiogram (MECG) compression on lightweight wireless body area
network (WBAN) is highly challenging for long-term eHealthcare monitoring. Energy …

In recent years, compressed sensing (CS) has emerged as an effective alternative to
conventional wavelet based data compression techniques. This is due to its simple and …

Wireless body area networks (WBANs) are increasingly used for remote healthcare
surveillance in recent times, where electrocardiogram (ECG) signals are continuously …

Multimodal biometrics systems are stronger to spoof attacks than biometric systems that
integrate information from several biometric features. Face recognition has become a major …

Due to the high sampling rate, the recorded Electrocardiograms (ECG) data are huge. For
storing and transmitting ECG data, wide spaces and more bandwidth are therefore needed …