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TCAD Simulation and Analysis of Selective Buried Oxide MOSFET Dynamic Power
(MDPI, 2019)
Low power consumption has become one of the major requirements for most microelectronic devices and systems. Increasing power dissipation may lead to decreasing system effciency and lifetime. The BULK metal oxide semiconductor ...
Vigilance Decrement and Enhancement Techniques: A Review
(MDPI, 2019)
This paper presents the first comprehensive review on vigilance enhancement using both conventional and unconventional means, and further discusses the resulting contradictory findings. It highlights the key differences ...
Emotion Recognition Based on Fusion of Local Cortical Activations and Dynamic Functional Networks Connectivity: An EEG Study
(IEEE Xplore Digital Library, 2019)
In this paper, we present a method to improve emotion recognition based on the fusion of local cortical activations and dynamic functional network patterns. We estimate the cortical activations using power spectral density ...
Novel Classification System for Classifying Cognitive Workload Levels under Vague Visual Stimulation
(IEEE, 2017-07)
This paper presents a novel method for classifying four different levels of cognitive workload. The workload levels are generated using visual stimuli degradation. EEG signals recorded from 16 subjects were used for workload ...
Characterization of transection spinal cord injuries by monitoring somatosensory evoked potentials and motor behavior
(Elsevier, 2020)
Standardization of spinal cord injury (SCI) models is crucial for reproducible injury in research settings and their objective assessments. Basso, Beattie and Bresnahan (BBB) scoring, the traditional behavioral evaluation ...
Development and Characterization of Novel Composite and Flexible Electrode Based on Titanium Dioxide
(IEEE, 2020-06-11)
Flexible implantable bioelectrodes have the potential to advance neural sensing and muscle stimulation, especially in peripheral nerve injuries. In such cases, the application of electrical stimulation to muscles prevents ...
Internet of things based multi-sensor patient fall detection system
(National Center for Biotechnology Information, 2019)
Accidental falls of patients cannot be completely prevented. However, timely fall detection can help prevent further complications such as blood loss and unconsciousness. In this study, the authors present a cost-effective ...
Brain Connectivity Analysis Under Semantic Vigilance and Enhanced Mental States
(MDPI, 2019)
In this paper, we present a method to quantify the coupling between brain regions under vigilance and enhanced mental states by utilizing partial directed coherence (PDC) and graph theory analysis (GTA). The vigilance state ...
EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis
(IEEE, 2020)
This paper proposes two novel methods to classify semantic vigilance levels by utilizing EEG directed connectivity patterns with their corresponding graphical network measures. We estimate the directed connectivity using ...