Publications by Eileen Lew Yi Lee

Single trial prediction of self-paced reaching directions from EEG signals

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Eileen Lew Yi Lee

Early detection of movement intention could possibly minimize the delays in the activation of neuroprosthetic devices. As yet, single trial analysis using non-invasive approaches for understanding such movement preparation remains a challenging task. We st ...

Frontiers Research Foundation2014

Self-paced Movement Intention Detection from Human Brain Signals: Invasive and Non-invasive EEG

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Eileen Lew Yi Lee, Huaijian Zhang

Neural signatures of humans’ movement intention can be exploited by future neuroprosthesis. We propose a method for detecting self-paced upper limb movement intention from brain signals acquired with both invasive and noninvasive methods. In the first stud ...

Ieee2012

Decoding Self-paced Upper Limb Reaching Movements from Brain Signals

José del Rocio Millán Ruiz, Eileen Lew Yi Lee

Future emerging technologies in upper limb neuroprosthetic devices will require decoding and executing the user's intended movement. Previous studies, using invasive and non-invasive brain signals, have shown promising results in decoding movement directio ...

EPFL2012

Asynchronous Non-Invasive Brain-Actuated Control of an Intelligent Wheelchair

José del Rocio Millán Ruiz, Eileen Lew Yi Lee

In this paper we present further results of our asynchronous and non-invasive BMI for the continuous control of an intelligent wheelchair. Three subjects participated in two experiments where they steered the wheelchair spontaneously, without any external ...

2009

A Brain-Actuated Wheelchair: Asynchronous and Non-Invasive Brain-Computer Interfaces for Continuous Control of Robots

Pierre Ferrez, José del Rocio Millán Ruiz, Eileen Lew Yi Lee

Objective: To assess the feasibility and robustness of an asynchronous and non-invasive EEG-based Brain-Computer Interface (BCI) for continuous mental control of a wheelchair. Methods: In experiment 1 two subjects were asked to mentally drive both a real a ...

Elsevier2008

Continuous Brain-Actuated Control of an Intelligent Wheelchair by Human EEG

José del Rocio Millán Ruiz, Eileen Lew Yi Lee

The objective of this study is to assess the feasibility of controlling an asynchronous and non-invasive brain-actuated wheelchair by human EEG. Three subjects were asked to mentally drive the wheelchair to 3 target locations using 3 mental commands. These ...

2008

Non-Invasive Brain-Machine Interaction

Pierre Ferrez, Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Eileen Lew Yi Lee

The promise of Brain-Computer Interfaces (BCI) technology is to augment human capabilities by enabling interaction with computers through a conscious and spontaneous modulation of the brainwaves after a short training period. Indeed, by analyzing brain ele ...

World Scientific Publishing2008

Context-based Filtering for Assisted Brain-Actuated Wheelchair Driving

Pierre Ferrez, José del Rocio Millán Ruiz, Eileen Lew Yi Lee

Controlling a robotic device by using human brain signals is an interesting and challenging task. The device may be complicated to control and the non-stationary nature of the brain signals provides for a rather unstable input. With the use of intelligent ...

2007

Non-Invasive Brain-Actuated Interaction

Pierre Ferrez, Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Eileen Lew Yi Lee

The promise of Brain-Computer Interfaces (BCI) technology is to augment human capabilities by enabling interaction with computers through a conscious and spontaneous modulation of the brainwaves after a short training period. Indeed, by analyzing brain ele ...

Springer Verlag2007