EEG Headset Evaluation for Detection of Single-Trial Movement Intention for Brain-Computer Interfaces.

Mads Jochumsen,Preben Kidmose,Hendrik Knoche,Troels Wesenberg Kjaer,Birthe Dinesen

doi:10.3390/s20102804

Mads Jochumsen, Preben Kidmose + Show 3 more

Open Access

https://doi.org/10.3390/s20102804

Copy DOI

Abstract

Brain–computer interfaces (BCIs) can be used in neurorehabilitation; however, the literature about transferring the technology to rehabilitation clinics is limited. A key component of a BCI is the headset, for which several options are available. The aim of this study was to test four commercially available headsets’ ability to record and classify movement intentions (movement-related cortical potentials—MRCPs). Twelve healthy participants performed 100 movements, while continuous EEG was recorded from the headsets on two different days to establish the reliability of the measures: classification accuracies of single-trials, number of rejected epochs, and signal-to-noise ratio. MRCPs could be recorded with the headsets covering the motor cortex, and they obtained the best classification accuracies (73%−77%). The reliability was moderate to good for the best headset (a gel-based headset covering the motor cortex). The results demonstrate that, among the evaluated headsets, reliable recordings of MRCPs require channels located close to the motor cortex and potentially a gel-based headset.

Highlights

Brain–computer interfaces (BCIs) have been proposed as a means for control of assistive devices and communication for patients with severe disabilities, such as spinal cord injury and amyotrophic lateral sclerosis (ALS) [1,2,3]
BCIs have been investigated for motor rehabilitation of patients with neural injuries such as stroke or spinal cord injury [4,5,6,7,8]
It can be fairly time consuming to mount the EEG headset and ensure the cap is correctly placed, and a proper EEG signal quality is obtained. This is especially evident if the patients potentially should mount the EEG headset themselves [15]

Summary

Introduction

Brain–computer interfaces (BCIs) have been proposed as a means for control of assistive devices and communication for patients with severe disabilities, such as spinal cord injury and amyotrophic lateral sclerosis (ALS) [1,2,3]. BCIs have been investigated for motor rehabilitation of patients with neural injuries such as stroke or spinal cord injury [4,5,6,7,8]. It can be fairly time consuming to mount the EEG headset and ensure the cap is correctly placed, and a proper EEG signal quality is obtained. This is especially evident if the patients potentially should mount the EEG headset themselves [15].

Objectives

Results

Discussion

Conclusion