Literature DB >> 26536851

A comparative study: use of a Brain-computer Interface (BCI) device by people with cerebral palsy in interaction with computers.

Regina O Heidrich1, Emely Jensen1, Francisco Rebelo2, Tiago Oliveira2.   

Abstract

This article presents a comparative study among people with cerebral palsy and healthy controls, of various ages, using a Brain-computer Interface (BCI) device. The research is qualitative in its approach. Researchers worked with Observational Case Studies. People with cerebral palsy and healthy controls were evaluated in Portugal and in Brazil. The study aimed to develop a study for product evaluation in order to perceive whether people with cerebral palsy could interact with the computer and compare whether their performance is similar to that of healthy controls when using the Brain-computer Interface. Ultimately, it was found that there are no significant differences between people with cerebral palsy in the two countries, as well as between populations without cerebral palsy (healthy controls).

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Year:  2015        PMID: 26536851     DOI: 10.1590/0001-3765201520130413

Source DB:  PubMed          Journal:  An Acad Bras Cienc        ISSN: 0001-3765            Impact factor:   1.753


  4 in total

1.  Characterizing Computer Access Using a One-Channel EEG Wireless Sensor.

Authors:  Alberto J Molina-Cantero; Jaime Guerrero-Cubero; Isabel M Gómez-González; Manuel Merino-Monge; Juan I Silva-Silva
Journal:  Sensors (Basel)       Date:  2017-06-29       Impact factor: 3.576

2.  Using brain-computer interfaces: a scoping review of studies employing social research methods.

Authors:  Johannes Kögel; Jennifer R Schmid; Ralf J Jox; Orsolya Friedrich
Journal:  BMC Med Ethics       Date:  2019-03-07       Impact factor: 2.652

3.  What is it like to use a BCI? - insights from an interview study with brain-computer interface users.

Authors:  Johannes Kögel; Ralf J Jox; Orsolya Friedrich
Journal:  BMC Med Ethics       Date:  2020-01-06       Impact factor: 2.652

4.  Human-in-the-Loop Predictive Analytics Using Statistical Learning.

Authors:  Anusha Ganesan; Anand Paul; Ganesan Nagabushnam; Malik Junaid Jami Gul
Journal:  J Healthc Eng       Date:  2021-07-29       Impact factor: 2.682

  4 in total

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