EEG based BCI-towards a better control. Brain-computer interface research at Aalborg University.

This paper summarizes the brain-computer interface (BCI)-related research being conducted at Aalborg University. Namely, an online synchronized BCI system using steady-state visual evoked potentials, and investigations on cortical modulation of movement-related parameters are presented.

Movement-related parameters modulate cortical activity during imaginary isometric plantar-flexions.

A multitude of studies have demonstrated a clear activation of the motor cortex during imagination of various motor tasks; however, it is still unclear if movement-related parameters (movement direction, range of motion, speed, force level and rate of force development) specifically modulate cortical activation as they do during the execution of actual motor tasks. Accordingly, this study examined whether the rate of torque development (RTD) and/or the torque amplitude modulates cortical potentials generated during imaginary motor tasks. Fifteen subjects imagined four different left-sided isometric plantar-flexion tasks, while EEG and EMG recordings were being performed.

Influence of directional orientations during gait initiation and stepping on movement-related cortical potentials.

The influence of directional orientation on movement-related potentials (MRPs) during gait initiation and stepping has been investigated in the present study, as well as possible effects caused by the distinction between gait initiation and stepping. Accordingly, electroencephalographic (EEG), electromyographic (EMG) and kinetic recordings were conducted while eight subjects initiated gait and were stepping in three different directions (namely, forward, backward and lateral). Five different movement-related potentials were extracted from the EEG recordings and statistically analyzed.

A comparative study of different references for EEG spectral mapping: the issue of the neutral reference and the use of the infinity reference.

Based on EEG data recorded from 11 subjects with eyes open and the left mastoid (M) reference, three data sets were generated by re-referencing to the conventional linked mastoids (L), average (A) and the new 'infinity' (I) reference provided by the reference electrode standardization technique (REST, Yao 2001 Physiol. Meas. 22 693-711).

Cortical mapping of EEG alpha power using a charge layer model.

This study aims to investigate how the blurred scalp alpha power distribution can be segregated on the cortex. EEG recorded from 11 subjects with their eyes closed were utilized to reconstruct the cortically equivalent Charge Layer (CL). Further, the power maps of scalp potential as well CL were generated by Fourier transform.

Relationship between plantar-flexor torque generation and the magnitude of the movement-related potentials.

This study investigates whether rate of torque development (RTD) and/or torque amplitude are reflected in the movement-related potentials (MRPs) preceding and accompanying isometric activation of plantar flexor muscles. Subjects were asked to perform six different tasks involving the left ankle joint. The tasks consisted of voluntary isometric plantar flexions at three different RTDs (two fixed rates and a 'ballistic' task) ending at two different torque amplitudes.

Biopotentials as command and feedback signals in functional electrical stimulation systems.

Today Functional Electrical Stimulation (FES) is available as a clinical tool in muscle activation used for picking up objects, for standing and walking, for controlling bladder emptying, and for breathing. Despite substantial progress in development and new knowledge, many challenges remain to be resolved to provide a more efficient functionality of FES systems. The most important task of these challenges is to improve control of the activated muscles through open loop or feedback systems.

Multi-centre comparison of five eye movement detection algorithms.

Although various investigators have suggested algorithms for the automatic detection of eye movements during sleep, objective comparisons of the proposed methods have previously been difficult due to different recording arrangements of different investigators. In this study the results of five eye movement detection algorithms applied to the same data were compared to visually scored data. The percentages of true and false detections are given for various threshold levels in rapid and slow eye movement detections.