The potentials, challenges, and future directions of on-chip-antennas for emerging wireless applications—A comprehensive survey
The ever-growing demand for low power, high performance, cost-effective, low-profile, and
highly integrated wireless systems for emerging applications has triggered the need for the …
highly integrated wireless systems for emerging applications has triggered the need for the …
An embedded lightweight SSVEP-BCI electric wheelchair with hybrid stimulator
R Na, C Hu, Y Sun, S Wang, S Zhang, M Han… - Digital Signal …, 2021 - Elsevier
Electric wheelchairs, as mobile auxiliary equipment, improve the quality of life and self-
independence of the disabled. The brain-computer interface (BCI) is used to establish a …
independence of the disabled. The brain-computer interface (BCI) is used to establish a …
Characterization of industry 4.0 lean management problem-solving behavioral patterns using EEG sensors and deep learning
Industry 4.0 leaders solve problems all of the time. Successful problem-solving behavioral
pattern choice determines organizational and personal success, therefore a proper …
pattern choice determines organizational and personal success, therefore a proper …
An efficient model-compressed EEGNet accelerator for generalized brain-computer interfaces with near sensor intelligence
Brain-computer interfaces (BCIs) is promising in interacting with machines through
electroencephalogram (EEG) signal. The compact end-to-end neural network model for …
electroencephalogram (EEG) signal. The compact end-to-end neural network model for …
Custom-fitted in-and around-the-ear sensors for unobtrusive and on-the-go EEG acquisitions: development and validation
O Valentin, G Viallet, A Delnavaz, G Cretot-Richert… - Sensors, 2021 - mdpi.com
Objectives: This paper aims to validate the performance and physical design of a wearable,
unobtrusive ear-centered electroencephalography (EEG) device, dubbed “EARtrodes” …
unobtrusive ear-centered electroencephalography (EEG) device, dubbed “EARtrodes” …
Objective assessment of impulse control disorder in patients with Parkinson's disease using a low-cost LEGO-like EEG headset: a feasibility study
Abstract Background Patients with Parkinson's disease (PD) can develop impulse control
disorders (ICDs) while undergoing a pharmacological treatment for motor control …
disorders (ICDs) while undergoing a pharmacological treatment for motor control …
[HTML][HTML] Detection of Unfocused EEG Epochs by the Application of Machine Learning Algorithm
R Akhter, FR Beyette - Sensors, 2024 - mdpi.com
Electroencephalography (EEG) is a non-invasive method used to track human brain activity
over time. The time-locked EEG to an external event is known as event-related potential …
over time. The time-locked EEG to an external event is known as event-related potential …
A novel spatio-temporal field for emotion recognition based on EEG signals
W Li, Z Zhang, B Hou, X Li - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Electroencephalogram (EEG) sensor data contain rich information about human
emotionality. Emotion recognition based on EEG signals has attracted growing attention of …
emotionality. Emotion recognition based on EEG signals has attracted growing attention of …
Computational Approach to guide Mind Controlled Robotic Arm using BCI–A Review
This paper reports a review of computational approach to guide mind controlled robotic arm
using Brain Computer Interface (BCI). BCI controlled robotic arm provides an individual to …
using Brain Computer Interface (BCI). BCI controlled robotic arm provides an individual to …
Wearable multi-biosignal analysis integrated interface with direct sleep-stage classification
SW Kim, K Lee, J Yeom, TH Lee, DH Kim… - IEEE Access, 2020 - ieeexplore.ieee.org
This paper presents a wearable multi-biosignal wireless interface for sleep analysis. It
enables comfortable sleep monitoring with direct sleep-stage classification capability while …
enables comfortable sleep monitoring with direct sleep-stage classification capability while …