Literature DB >> 25721547

Assistive device with conventional, alternative, and brain-computer interface inputs to enhance interaction with the environment for people with amyotrophic lateral sclerosis: a feasibility and usability study.

Francesca Schettini1, Angela Riccio2, Luca Simione3, Giulia Liberati4, Mario Caruso5, Vittorio Frasca6, Barbara Calabrese7, Massimo Mecella5, Alessia Pizzimenti8, Maurizio Inghilleri6, Donatella Mattia9, Febo Cincotti10.   

Abstract

OBJECTIVE: To evaluate the feasibility and usability of an assistive technology (AT) prototype designed to be operated with conventional/alternative input channels and a P300-based brain-computer interface (BCI) in order to provide users who have different degrees of muscular impairment resulting from amyotrophic lateral sclerosis (ALS) with communication and environmental control applications.
DESIGN: Proof-of-principle study with a convenience sample.
SETTING: An apartment-like space designed to be fully accessible by people with motor disabilities for occupational therapy, placed in a neurologic rehabilitation hospital. PARTICIPANTS: End-users with ALS (N=8; 5 men, 3 women; mean age ± SD, 60 ± 12 y) recruited by a clinical team from an ALS center.
INTERVENTIONS: Three experimental conditions based on (1) a widely validated P300-based BCI alone; (2) the AT prototype operated by a conventional/alternative input device tailored to the specific end-user's residual motor abilities; and (3) the AT prototype accessed by a P300-based BCI. These 3 conditions were presented to all participants in 3 different sessions. MAIN OUTCOME MEASURES: System usability was evaluated in terms of effectiveness (accuracy), efficiency (written symbol rate, time for correct selection, workload), and end-user satisfaction (overall satisfaction) domains. A comparison of the data collected in the 3 conditions was performed.
RESULTS: Effectiveness and end-user satisfaction did not significantly differ among the 3 experimental conditions. Condition III was less efficient than condition II as expressed by the longer time for correct selection.
CONCLUSIONS: A BCI can be used as an input channel to access an AT by persons with ALS, with no significant reduction of usability.
Copyright © 2015 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Amyotrophic lateral sclerosis; Assistive technology; Brain-computer interfaces; Event-related potentials; P300; Rehabilitation

Mesh:

Year:  2015        PMID: 25721547     DOI: 10.1016/j.apmr.2014.05.027

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


  9 in total

1.  Usability of a Hybrid System Combining P300-Based Brain-Computer Interface and Commercial Assistive Technologies to Enhance Communication in People With Multiple Sclerosis.

Authors:  Angela Riccio; Francesca Schettini; Valentina Galiotta; Enrico Giraldi; Maria Grazia Grasso; Febo Cincotti; Donatella Mattia
Journal:  Front Hum Neurosci       Date:  2022-05-26       Impact factor: 3.473

2.  Adaptive Automation Triggered by EEG-Based Mental Workload Index: A Passive Brain-Computer Interface Application in Realistic Air Traffic Control Environment.

Authors:  Pietro Aricò; Gianluca Borghini; Gianluca Di Flumeri; Alfredo Colosimo; Stefano Bonelli; Alessia Golfetti; Simone Pozzi; Jean-Paul Imbert; Géraud Granger; Raïlane Benhacene; Fabio Babiloni
Journal:  Front Hum Neurosci       Date:  2016-10-26       Impact factor: 3.169

Review 3.  A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives.

Authors:  Inchul Choi; Ilsun Rhiu; Yushin Lee; Myung Hwan Yun; Chang S Nam
Journal:  PLoS One       Date:  2017-04-28       Impact factor: 3.240

Review 4.  EEG-Based Brain-Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21 st Century.

Authors:  Ioulietta Lazarou; Spiros Nikolopoulos; Panagiotis C Petrantonakis; Ioannis Kompatsiaris; Magda Tsolaki
Journal:  Front Hum Neurosci       Date:  2018-01-31       Impact factor: 3.169

5.  Evaluation of a P300-Based Brain-Machine Interface for a Robotic Hand-Orthosis Control.

Authors:  Jonathan Delijorge; Omar Mendoza-Montoya; Jose L Gordillo; Ricardo Caraza; Hector R Martinez; Javier M Antelis
Journal:  Front Neurosci       Date:  2020-11-27       Impact factor: 4.677

6.  Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces.

Authors:  Francisco Laport; Daniel Iglesia; Adriana Dapena; Paula M Castro; Francisco J Vazquez-Araujo
Journal:  Sensors (Basel)       Date:  2021-03-22       Impact factor: 3.576

Review 7.  Occupational Therapy Interventions in Adults with Multiple Sclerosis or Amyotrophic Lateral Sclerosis: A Scoping Review.

Authors:  Luis De-Bernardi-Ojuel; Laura Torres-Collado; Manuela García-de-la-Hera
Journal:  Int J Environ Res Public Health       Date:  2021-02-03       Impact factor: 3.390

8.  On the Relationship Between Attention Processing and P300-Based Brain Computer Interface Control in Amyotrophic Lateral Sclerosis.

Authors:  Angela Riccio; Francesca Schettini; Luca Simione; Alessia Pizzimenti; Maurizio Inghilleri; Marta Olivetti-Belardinelli; Donatella Mattia; Febo Cincotti
Journal:  Front Hum Neurosci       Date:  2018-05-28       Impact factor: 3.169

Review 9.  Brain-Computer Interface Spellers: A Review.

Authors:  Aya Rezeika; Mihaly Benda; Piotr Stawicki; Felix Gembler; Abdul Saboor; Ivan Volosyak
Journal:  Brain Sci       Date:  2018-03-30
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.