Call for Papers: Special Issue on Neural Systems Engineering and Mathematical Modelling of Brain dynamics using ECoG/EEG/MEG oscillations and Machine learning methods
In this special issue, Guest Editor Steve Mehrkanoon, PhD, welcomes papers that address many of the challenges of mathematical and computational models of the brain networks and dynamics given the measurement data ECoG/EEG/MEG. Submission deadline: May 31, 2018.
Functional Connectivity Analysis of Mental Fatigue Reveals Different Network Topological Alterations Between Driving and Vigilance Tasks
Despite the apparent importance of mental fatigue detection, a reliable application is hindered due to the incomprehensive understanding of the neural mechanisms of mental fatigue.
Simultaneous Recognition and Assessment of Post-Stroke Hemiparetic Gait by Fusing Kinematic, Kinetic, and Electrophysiological Data
Gait analysis for the patients with lower limb motor dysfunction is a useful tool in assisting clinicians for diagnosis, assessment, and rehabilitation strategy making.
A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series
Sleep stage classification constitutes an important preliminary exam in the diagnosis of sleep disorders.
Android Feedback-based Training modulates Sensorimotor Rhythms during Motor Imagery
EEG-based brain computer interface (BCI) systems have demonstrated potential to assist patients with devastating motor paralysis conditions. However, there is great interest in shifting the BCI trend toward applications aimed at healthy users.
Wearable Inertial Sensors for Fall Risk Assessment and Prediction in Older Adults: A Systematic Review and Meta-Analysis
Wearable inertial sensors have been widely investigated for fall risk assessment and prediction in older adults. However, heterogeneity in published studies in terms of sensor location, task assessed and features extracted is high, making challenging evidence-based design of new studies and/or real-life applications.