Fatigue in human drivers is a serious cause of road accidents. Hence, it is important to
devise methods to detect and quantify the fatigue. This paper presents a method based on a …

This paper presents a multisensing system with wireless communication capabilities
embedded on a smart wheelchair that can measure physiological parameters such as heart …

A dynamic pressure transmitter (DPT) is designed in this paper for long distance oil and gas
pipeline, of which the design principle and main performance indices are introduced. A …

Analysis of the brain response to different types of external stimuli has always been one of
the major research areas in behavioral neuroscience. The electroencephalography (EEG) …

Network traffic anomaly detection is an important research content in the field of network and
security management. By analyzing network traffic, the health of the network environment …

Purpose Manual analysis of EEG signals by an expert is very much time consuming due to
the long length of EEG recordings. The suitable computerized analysis is essentially …

This study investigates the detection of the drowsiness state (DS) for future application such
as in the reduction of the road traffic accidents. The electroencephalography …

This paper presents the functional interdependences among electroencephalograph (EEG)
signals collected from human subjects undergoing a controlled experiment over a period of …

OBJECTIVE: Network analysis of electroencephalograph (EEG) signals to study the effect of
fatigue and sleep deprivation in human drivers and its validation using blood biochemical …

This work aims to investigate new markers for the quantitative characterization of insomnia,
in the context of sleep microstructure, as expressed by cyclic alternating pattern (CAP) sleep …