Literature DB >> 25721543

Long-term independent brain-computer interface home use improves quality of life of a patient in the locked-in state: a case study.

Elisa Mira Holz1, Loic Botrel2, Tobias Kaufmann3, Andrea Kübler2.   

Abstract

OBJECTIVE: Despite intense brain-computer interface (BCI) research for >2 decades, BCIs have hardly been established at patients' homes. The current study aimed at demonstrating expert independent BCI home use by a patient in the locked-in state and the effect it has on quality of life.
DESIGN: In this case study, the P300 BCI-controlled application Brain Painting was facilitated and installed at the patient's home. Family and caregivers were trained in setting up the BCI system. After every BCI session, the end user indicated subjective level of control, loss of control, level of exhaustion, satisfaction, frustration, and enjoyment. To monitor BCI home use, evaluation data of every session were automatically sent and stored on a remote server. Satisfaction with the BCI as an assistive device and subjective workload was indicated by the patient. In accordance with the user-centered design, usability of the BCI was evaluated in terms of its effectiveness, efficiency, and satisfaction. The influence of the BCI on quality of life of the end user was assessed.
SETTING: At the patient's home. PARTICIPANT: A 73-year-old patient with amyotrophic lateral sclerosis in the locked-in state.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: The BCI has been used by the patient independent of experts for >14 months. The patient painted in about 200 BCI sessions (1-3 times per week) with a mean painting duration of 81.86 minutes (SD=52.15, maximum: 230.41). BCI improved quality of life of the patient.
RESULTS: In most of the BCI sessions the end user's satisfaction was high (mean=7.4, SD=3.24; range, 0-10). Dissatisfaction occurred mostly because of technical problems at the beginning of the study or varying BCI control. The subjective workload was moderate (mean=40.61; range, 0-100). The end user was highy satisfied with all components of the BCI (mean 4.42-5.0; range, 1-5). A perfect match between the user and the BCI technology was achieved (mean: 4.8; range, 1-5). Brain Painting had a positive impact on the patient's life on all three dimensions: competence (1.5), adaptability (2.17) and self-esteem (1.5); (range: -3 = maximum negative impact; 3 maximum positive impact). The patient had her first public art exhibition in July 2013; future exhibitions are in preparation.
CONCLUSIONS: Independent BCI home use is possible with high satisfaction for the end user. The BCI indeed positively influenced quality of life of the patient and supports social inclusion. Results demonstrate that visual P300 BCIs can be valuable for patients in the locked-in state even if other means of communication are still available (eye tracker).
Copyright © 2015 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Amyotrophic lateral sclerosis; Brain-computer interfaces; Locked-in syndrome; Quality of life; Rehabilitation

Mesh:

Year:  2015        PMID: 25721543     DOI: 10.1016/j.apmr.2014.03.035

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  31 in total

1.  Effects of text generation on P300 brain-computer interface performance.

Authors:  Jane E Huggins; Ramses E Alcaide-Aguirre; Katya Hill
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2016-07-04

2.  Heading for new shores! Overcoming pitfalls in BCI design.

Authors:  Ricardo Chavarriaga; Melanie Fried-Oken; Sonja Kleih; Fabien Lotte; Reinhold Scherer
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2016-12-30

Review 3.  Guidelines for Feature Matching Assessment of Brain-Computer Interfaces for Augmentative and Alternative Communication.

Authors:  Kevin M Pitt; Jonathan S Brumberg
Journal:  Am J Speech Lang Pathol       Date:  2018-08-06       Impact factor: 2.408

4.  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

5.  Workshops of the Seventh International Brain-Computer Interface Meeting: Not Getting Lost in Translation.

Authors:  Jane E Huggins; Christoph Guger; Erik Aarnoutse; Brendan Allison; Charles W Anderson; Steven Bedrick; Walter Besio; Ricardo Chavarriaga; Jennifer L Collinger; An H Do; Christian Herff; Matthias Hohmann; Michelle Kinsella; Kyuhwa Lee; Fabien Lotte; Gernot Müller-Putz; Anton Nijholt; Elmar Pels; Betts Peters; Felix Putze; Rüdiger Rupp; Gerwin Schalk; Stephanie Scott; Michael Tangermann; Paul Tubig; Thorsten Zander
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2019-12-10

Review 6.  Brain-Computer Interfaces for Augmentative and Alternative Communication: A Tutorial.

Authors:  Jonathan S Brumberg; Kevin M Pitt; Alana Mantie-Kozlowski; Jeremy D Burnison
Journal:  Am J Speech Lang Pathol       Date:  2018-02-06       Impact factor: 2.408

7.  Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future.

Authors:  Jane E Huggins; Christoph Guger; Brendan Allison; Charles W Anderson; Aaron Batista; Anne-Marie A-M Brouwer; Clemens Brunner; Ricardo Chavarriaga; Melanie Fried-Oken; Aysegul Gunduz; Disha Gupta; Andrea Kübler; Robert Leeb; Fabien Lotte; Lee E Miller; Gernot Müller-Putz; Tomasz Rutkowski; Michael Tangermann; David Edward Thompson
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2014-01

8.  A Noninvasive Brain-Computer Interface for Real-Time Speech Synthesis: The Importance of Multimodal Feedback.

Authors:  Jonathan S Brumberg; Kevin M Pitt; Jeremy D Burnison
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-04       Impact factor: 3.802

9.  Noninvasive neuroimaging enhances continuous neural tracking for robotic device control.

Authors:  B J Edelman; J Meng; D Suma; C Zurn; E Nagarajan; B S Baxter; C C Cline; B He
Journal:  Sci Robot       Date:  2019-06-19

10.  Estimated Prevalence of the Target Population for Brain-Computer Interface Neurotechnology in the Netherlands.

Authors:  Elmar G M Pels; Erik J Aarnoutse; Nick F Ramsey; Mariska J Vansteensel
Journal:  Neurorehabil Neural Repair       Date:  2017-06-22       Impact factor: 3.919

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.