Principles and open questions in functional brain network reconstruction
Graph theory is now becoming a standard tool in system‐level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network representation …
endowing observed brain anatomy and dynamics with a complex network representation …
IoT health devices: exploring security risks in the connected landscape
The concept of the Internet of Things (IoT) spans decades, and the same can be said for its
inclusion in healthcare. The IoT is an attractive target in medicine; it offers considerable …
inclusion in healthcare. The IoT is an attractive target in medicine; it offers considerable …
A real-time CNN–BiLSTM-based classifier for patient-centered AR-SSVEP active rehabilitation exoskeleton system
Z An, F Wang, Y Wen, F Hu, S Han - Expert Systems with Applications, 2024 - Elsevier
The rehabilitation of stroke has brought a serious social burden to many countries. The
augmented reality steady-state visually evoked potential (AR-SSVEP) exoskeleton …
augmented reality steady-state visually evoked potential (AR-SSVEP) exoskeleton …
[HTML][HTML] Burst c-VEP based BCI: optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience
The utilization of aperiodic flickering visual stimuli under the form of code-modulated Visual
Evoked Potentials (c-VEP) represents a pivotal advancement in the field of reactive Brain …
Evoked Potentials (c-VEP) represents a pivotal advancement in the field of reactive Brain …
A novel deep learning model based on the ICA and Riemannian manifold for EEG-based emotion recognition
Background The EEG-based emotion recognition is one of the primary research orientations
in the field of emotional intelligence and human-computer interaction (HCI). New method We …
in the field of emotional intelligence and human-computer interaction (HCI). New method We …
Functional connectivity ensemble method to enhance BCI performance (FUCONE)
Objective: Relying on the idea that functional connectivity provides important insights on the
underlying dynamic of neuronal interactions, we propose a novel framework that combines …
underlying dynamic of neuronal interactions, we propose a novel framework that combines …
Multi-objective optimization-based high-pass spatial filtering for SSVEP-based brain–computer interfaces
Many spatial filtering methods have been proposed to enhance the target identification
performance for the steady-state visual evoked potential (SSVEP)-based brain–computer …
performance for the steady-state visual evoked potential (SSVEP)-based brain–computer …
Mind wandering state detection during video-based learning via EEG
S Tang, Y Liang, Z Li - Frontiers in human neuroscience, 2023 - frontiersin.org
The aim of this study is to explore the potential of technology for detecting mind wandering,
particularly during video-based distance learning, with the ultimate benefit of improving …
particularly during video-based distance learning, with the ultimate benefit of improving …
Multivariate phase space reconstruction and Riemannian manifold for sleep stage classification
Abstract Background and Objective Sleep was highly imperative in human daily life.
However, an increasing number of people were undergoing sleep deprivation and sleep …
However, an increasing number of people were undergoing sleep deprivation and sleep …
[HTML][HTML] Dual passive reactive brain-computer interface: A novel approach to human-machine symbiosis
The present study proposes a novel concept of neuroadaptive technology, namely a dual
passive-reactive Brain-Computer Interface (BCI), that enables bi-directional interaction …
passive-reactive Brain-Computer Interface (BCI), that enables bi-directional interaction …