scispace - formally typeset
E

Effie Chew

Researcher at University Health System

Publications -  56
Citations -  1590

Effie Chew is an academic researcher from University Health System. The author has contributed to research in topics: Stroke & Motor imagery. The author has an hindex of 18, co-authored 51 publications receiving 1114 citations. Previous affiliations of Effie Chew include Harvard University & National University of Singapore.

Papers
More filters
Journal ArticleDOI

Neural Network Control of a Rehabilitation Robot by State and Output Feedback

TL;DR: With the proposed control, uniform ultimate boundedness of the closed loop system is achieved in the context of Lyapunov’s stability theory and its associated techniques.
Journal ArticleDOI

World-Wide FINGERS Network: A global approach to risk reduction and prevention of dementia

Miia Kivipelto, +77 more
TL;DR: The WW‐FINGERS aims to harmonize and adapt multidomain interventions across various countries and settings, to facilitate data sharing and analysis across studies, and to promote international joint initiatives to identify globally implementable and effective preventive strategies.
Journal ArticleDOI

Pharmacological management of neurobehavioral disorders following traumatic brain injury--a state-of-the-art review.

TL;DR: A need exists to further define the role of psychopharmacology in postacute TBI medicine and the specific characteristics of subpopulations who might benefit.
Journal ArticleDOI

Facilitating effects of transcranial direct current stimulation on motor imagery brain-computer interface with robotic feedback for stroke rehabilitation.

TL;DR: The results suggest a role for tDCS in facilitating motor imagery in stroke and online accuracies of the evaluation part from the tDCS group were significantly higher than those from the sham group.
Journal ArticleDOI

Assessment of the Efficacy of EEG-Based MI-BCI With Visual Feedback and EEG Correlates of Mental Fatigue for Upper-Limb Stroke Rehabilitation

TL;DR: In this article, an electroencephalogram (EEG)-based motor imagery brain-computer interface (MI-BCI) employing visual feedback for upper-limb stroke rehabilitation, and the presence of EEG correlates of mental fatigue during BCI usage was investigated.