In this paper, a general overview of the different kinds of filters, their applications in real
world and the various pitfalls of filtering have been briefly discussed with a special focus on …

With the development of the industrial Internet of Things (IIoT), intelligent healthcare aims to
build a platform to monitor users' health-related information based on wearable devices …

Multichannel EEG data processing is usually required to decode Motor Imagery (MI) specific
cognitive patterns in Brain-Computer Interface (BCI) systems. The signals from its channels …

This review systematically explores the application of transformer-based models in EEG
signal processing and brain-computer interface (BCI) development, with a distinct focus on …

Authentication is most important for security. There are many different systems for
recognizing the person. The traditional authentication systems such as passwords have …

The domain of Speech Emotion Recognition (SER) has experienced a tremendous
revolution due to the outbreak of deep learning, which has contributed, as in many other …

The recent advancements in deep learning and other related technologies have led to
improvements in various areas such as computer vision, bio-informatics, and speech …

Nowadays, cardiovascular diseases are known as the one of the most dangerous and
common problems in modern society. Analyzing and classifying the ECG signal will yield an …

Motor imagery (MI)-based brain-computer interface (BCI) systems have shown promising
advances for lower limb motor rehabilitation. The purpose of this study was to develop an MI …

Distributed acoustic sensing systems can obtain the road vibration information caused by
vehicle driving vibration on highways. By characterizing the vehicle driving vibration data, a …