Papers
9
Total Citations
1,364
H-Index
8
About
Eileen Lew is a pioneering researcher in brain-computer interfaces (BCIs) and neural engineering, with a particular focus on non-invasive systems that translate human brain signals into meaningful control of assistive robotic devices. Her most celebrated contribution, "A Brain-Actuated Wheelchair" (2008), has amassed over 666 citations and stands as a landmark demonstration that asynchronous, non-invasive BCIs can enable continuous robot control — a critical advance for individuals with severe motor disabilities. Alongside collaborators, Lew developed adaptive shared control frameworks for brain-actuated wheelchairs, recognizing that intelligent, context-sensitive assistance dramatically improves user performance and system reliability. Her work on detecting self-paced movement intention from EEG signals (228 citations) has significantly advanced the field of neuroprosthetics, addressing the fundamental challenge of decoding not just *what* movement a user intends, but *when* they intend to initiate it — using both invasive and non-invasive recording methods. Collectively, her research bridges neuroscience, signal processing, and robotics, offering transformative solutions for restoring autonomy to people with paralysis or limb loss. With over 1,300 cumulative citations, Lew's body of work represents foundational contributions to practical, human-centered neural engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2Detection of self-paced reaching movement intention from EEG signals228 citations · 2012
- 3Adaptive Shared Control of a Brain-Actuated Simulated Wheelchair158 citations · 2007
- 4Context-Based Filtering for Assisted Brain-Actuated Wheelchair Driving133 citations · 2007
- 5NON-INVASIVE BRAIN-MACHINE INTERACTION107 citations · 2008
- 6
- 7
- 8Continuous Brain-Actuated Control of an Intelligent Wheelchair by Human EEG10 citations · 2008
- 9Non-invasive Brain-Actuated Interaction6 citations · 2007