Literature DB >> 26350406

Training leads to increased auditory brain-computer interface performance of end-users with motor impairments.

S Halder1, I Käthner2, A Kübler2.   

Abstract

OBJECTIVE: Auditory brain-computer interfaces are an assistive technology that can restore communication for motor impaired end-users. Such non-visual brain-computer interface paradigms are of particular importance for end-users that may lose or have lost gaze control. We attempted to show that motor impaired end-users can learn to control an auditory speller on the basis of event-related potentials.
METHODS: Five end-users with motor impairments, two of whom with additional visual impairments, participated in five sessions. We applied a newly developed auditory brain-computer interface paradigm with natural sounds and directional cues.
RESULTS: Three of five end-users learned to select symbols using this method. Averaged over all five end-users the information transfer rate increased by more than 1800% from the first session (0.17 bits/min) to the last session (3.08 bits/min). The two best end-users achieved information transfer rates of 5.78 bits/min and accuracies of 92%.
CONCLUSIONS: Our results show that an auditory BCI with a combination of natural sounds and directional cues, can be controlled by end-users with motor impairment. Training improves the performance of end-users to the level of healthy controls. SIGNIFICANCE: To our knowledge, this is the first time end-users with motor impairments controlled an auditory brain-computer interface speller with such high accuracy and information transfer rates. Further, our results demonstrate that operating a BCI with event-related potentials benefits from training and specifically end-users may require more than one session to develop their full potential.
Copyright © 2015 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Assistive technology; Brain–computer interfaces; Communication; End-user evaluation

Mesh:

Year:  2015        PMID: 26350406     DOI: 10.1016/j.clinph.2015.08.007

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  18 in total

1.  Neural mechanisms of training an auditory event-related potential task in a brain-computer interface context.

Authors:  Sebastian Halder; Teresa Leinfelder; Stefan M Schulz; Andrea Kübler
Journal:  Hum Brain Mapp       Date:  2019-01-28       Impact factor: 5.038

2.  Usage of drip drops as stimuli in an auditory P300 BCI paradigm.

Authors:  Minqiang Huang; Jing Jin; Yu Zhang; Dewen Hu; Xingyu Wang
Journal:  Cogn Neurodyn       Date:  2017-11-16       Impact factor: 5.082

3.  A P300 Brain-Computer Interface Paradigm Based on Electric and Vibration Simple Command Tactile Stimulation.

Authors:  Chenxi Chu; Jingjing Luo; Xiwei Tian; Xiangke Han; Shijie Guo
Journal:  Front Hum Neurosci       Date:  2021-04-14       Impact factor: 3.169

4.  An Evaluation of Training with an Auditory P300 Brain-Computer Interface for the Japanese Hiragana Syllabary.

Authors:  Sebastian Halder; Kouji Takano; Hiroki Ora; Akinari Onishi; Kota Utsumi; Kenji Kansaku
Journal:  Front Neurosci       Date:  2016-09-30       Impact factor: 4.677

5.  Effects of Background Music on Objective and Subjective Performance Measures in an Auditory BCI.

Authors:  Sijie Zhou; Brendan Z Allison; Andrea Kübler; Andrzej Cichocki; Xingyu Wang; Jing Jin
Journal:  Front Comput Neurosci       Date:  2016-10-13       Impact factor: 2.380

6.  A Multifunctional Brain-Computer Interface Intended for Home Use: An Evaluation with Healthy Participants and Potential End Users with Dry and Gel-Based Electrodes.

Authors:  Ivo Käthner; Sebastian Halder; Christoph Hintermüller; Arnau Espinosa; Christoph Guger; Felip Miralles; Eloisa Vargiu; Stefan Dauwalder; Xavier Rafael-Palou; Marc Solà; Jean M Daly; Elaine Armstrong; Suzanne Martin; Andrea Kübler
Journal:  Front Neurosci       Date:  2017-05-22       Impact factor: 4.677

7.  Comparison of Four Control Methods for a Five-Choice Assistive Technology.

Authors:  Sebastian Halder; Kouji Takano; Kenji Kansaku
Journal:  Front Hum Neurosci       Date:  2018-06-06       Impact factor: 3.169

8.  Comparison of eye tracking, electrooculography and an auditory brain-computer interface for binary communication: a case study with a participant in the locked-in state.

Authors:  Ivo Käthner; Andrea Kübler; Sebastian Halder
Journal:  J Neuroeng Rehabil       Date:  2015-09-04       Impact factor: 4.262

9.  The WIN-speller: a new intuitive auditory brain-computer interface spelling application.

Authors:  Sonja C Kleih; Andreas Herweg; Tobias Kaufmann; Pit Staiger-Sälzer; Natascha Gerstner; Andrea Kübler
Journal:  Front Neurosci       Date:  2015-10-06       Impact factor: 4.677

10.  Affective Stimuli for an Auditory P300 Brain-Computer Interface.

Authors:  Akinari Onishi; Kouji Takano; Toshihiro Kawase; Hiroki Ora; Kenji Kansaku
Journal:  Front Neurosci       Date:  2017-09-21       Impact factor: 4.677

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