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Journal of NeuroEngineering and Rehabilitation
Published in: Journal of NeuroEngineering and Rehabilitation 1/2019

Open Access 01-12-2019 | Electroencephalography | Research

Electroencephalography-based endogenous brain–computer interface for online communication with a completely locked-in patient

Authors: Chang-Hee Han, Yong-Wook Kim, Do Yeon Kim, Seung Hyun Kim, Zoran Nenadic, Chang-Hwan Im

Published in: Journal of NeuroEngineering and Rehabilitation | Issue 1/2019

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Abstract

Background

Brain–computer interfaces (BCIs) have demonstrated the potential to provide paralyzed individuals with new means of communication, but an electroencephalography (EEG)-based endogenous BCI has never been successfully used for communication with a patient in a completely locked-in state (CLIS).

Methods

In this study, we investigated the possibility of using an EEG-based endogenous BCI paradigm for online binary communication by a patient in CLIS. A female patient in CLIS participated in this study. She had not communicated even with her family for more than one year with complete loss of motor function. Offline and online experiments were conducted to validate the feasibility of the proposed BCI system. In the offline experiment, we determined the best combination of mental tasks and the optimal classification strategy leading to the best performance. In the online experiment, we investigated whether our BCI system could be potentially used for real-time communication with the patient.

Results

An online classification accuracy of 87.5% was achieved when Riemannian geometry-based classification was applied to real-time EEG data recorded while the patient was performing one of two mental-imagery tasks for 5 s.

Conclusions

Our results suggest that an EEG-based endogenous BCI has the potential to be used for online communication with a patient in CLIS.
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Metadata
Title
Electroencephalography-based endogenous brain–computer interface for online communication with a completely locked-in patient
Authors
Chang-Hee Han
Yong-Wook Kim
Do Yeon Kim
Seung Hyun Kim
Zoran Nenadic
Chang-Hwan Im
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Journal of NeuroEngineering and Rehabilitation / Issue 1/2019
Electronic ISSN: 1743-0003
DOI
https://doi.org/10.1186/s12984-019-0493-0

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