This paper reviews the state of the arts and trends of the AI-Based biomedical processing
algorithms and hardware. The algorithms and hardware for different biomedical applications …

High spatiotemporal resolution biosignal that is vital for biomedical applications results in an
information bottleneck that poses challenges for their transferring and processing. The …

The approximate computing paradigm emerged as a key alternative for trading off accuracy
and energy efficiency. Error-tolerant applications, such as multimedia and signal processing …

An ultra-low power ECG processor ASIC (application specific integrated circuit) with R-wave
detection and data compression is presented, which is designed for the long-term …

In this paper, a new methodology for choosing design parameters of level-crossing analog-
to-digital converters (LC-ADCs) is presented that improves sampling accuracy and reduces …

This article is dedicated to investigating the impulsive-based almost surely synchronization
issue of neural network systems (NSSs) with quality-of-service constraints. First, the …

Biometrics such as facial features, fingerprint, and iris are being used increasingly in modern
authentication systems. These methods are now popular and have found their way into …

A novel noise suppression zeroing neural network (NSZNN) is presented for the trajectory
tracking problem on a four Mecanum wheeled mobile manipulator (FMWMM) by solving its …

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 …

Electrocardiogram (ECG) has attracted intense research interests and contests due to its
great value in biometric applications, especially with the technological progress of smart …