Abstract Background and Objective: Atrial fibrillation (AF) is the most prevalent arrhythmia,
which increases the mortality of several complications. The use of wearable devices to …

With the growing demand for power-efficient data acquisition systems, particularly in low-
power sensor applications that rely on energy harvesting or limited energy stored in small …

This article presents a clockless nonuniform sampling scheme to enhance the energy
efficiency of Internet of Things (IoT) applications. The proposed scheme employs a …

Compressive learning (CL) is an emerging framework that enables machine learning
inference tasks to be performed directly in the measurements of compressed sensing (CS) …

This paper presents an ultra-low-power non-uniform sampling scheme using a derivative-
based algorithm that can maintain a comparable accuracy to other non-uniform sampling …

Compressed sensing (CS) has drawn much attention in electrocardiography (ECG) signal
monitoring for its effectiveness in reducing the transmission power of wireless sensor …