Literature DB >> 22208117

Accuracy of a P300 speller for people with motor impairments: a comparison.

Rupert Ortner1, Fabio Aloise, Robert Prückl, Francesca Schettini, Veronika Putz, Josef Scharinger, Eloy Opisso, Ursula Costa, Christoph Guger.   

Abstract

A Brain-Computer Interface (BCI) provides a completely new output pathway that can provide an additional option for a person to express himself/herself if he/she suffers a disorder like amyotrophic lateral sclerosis (ALS), brainstem stroke, brain or spinal cord injury or other diseases which impair the function of the common output pathways which are responsible for the control of muscles. For a P300 based BCI a matrix of randomly flashing characters is presented to the participant. To spell a character the person has to attend to it and to count how many times the character flashes. Although most BCIs are designed to help people with disabilities, they are mainly tested on healthy, young subjects who may achieve better results than people with impairments. In this study we compare measurements, performed on people suffering motor impairments, such as stroke or ALS, to measurements performed on healthy people. The overall accuracy of the persons with motor impairments reached 70.1% in comparison to 91% obtained for the group of healthy subjects. When looking at single subjects, one interesting example shows that under certain circumstances, when it is difficult for a patient to concentrate on one character for a longer period of time, the accuracy is higher when fewer flashes (i.e., stimuli) are presented. Furthermore, the influence of several tuning parameters is discussed as it shows that for some participants adaptations for achieving valuable spelling results are required. Finally, exclusion criteria for people who are not able to use the device are defined.

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Mesh:

Year:  2011        PMID: 22208117     DOI: 10.1177/155005941104200405

Source DB:  PubMed          Journal:  Clin EEG Neurosci        ISSN: 1550-0594            Impact factor:   1.843


  10 in total

1.  Brain-computer interface: current and emerging rehabilitation applications.

Authors:  Janis J Daly; Jane E Huggins
Journal:  Arch Phys Med Rehabil       Date:  2015-03       Impact factor: 3.966

2.  Experimental Set Up of P300 Based Brain Computer Interface Using a Bioamplifier and BCI2000 System for Patients with Spinal Cord Injury.

Authors:  Hyeongseok Jeon; Dong Ah Shin
Journal:  Korean J Spine       Date:  2015-09-30

3.  Assessment and Communication for People with Disorders of Consciousness.

Authors:  Rupert Ortner; Brendan Z Allison; Gerald Pichler; Alexander Heilinger; Nikolaus Sabathiel; Christoph Guger
Journal:  J Vis Exp       Date:  2017-08-01       Impact factor: 1.355

4.  A P300-based brain-computer interface aimed at operating electronic devices at home for severely disabled people.

Authors:  Rebeca Corralejo; Luis F Nicolás-Alonso; Daniel Alvarez; Roberto Hornero
Journal:  Med Biol Eng Comput       Date:  2014-08-28       Impact factor: 2.602

5.  Using the detectability index to predict P300 speller performance.

Authors:  B O Mainsah; L M Collins; C S Throckmorton
Journal:  J Neural Eng       Date:  2016-10-05       Impact factor: 5.379

6.  Noninvasive brain-computer interface enables communication after brainstem stroke.

Authors:  Eric W Sellers; David B Ryan; Christopher K Hauser
Journal:  Sci Transl Med       Date:  2014-10-08       Impact factor: 17.956

7.  P300-based brain-computer interface (BCI) event-related potentials (ERPs): People with amyotrophic lateral sclerosis (ALS) vs. age-matched controls.

Authors:  Lynn M McCane; Susan M Heckman; Dennis J McFarland; George Townsend; Joseph N Mak; Eric W Sellers; Debra Zeitlin; Laura M Tenteromano; Jonathan R Wolpaw; Theresa M Vaughan
Journal:  Clin Neurophysiol       Date:  2015-02-07       Impact factor: 3.708

8.  Interaction of BCI with the underlying neurological conditions in patients: pros and cons.

Authors:  Aleksandra Vuckovic; Jaime A Pineda; Kristen LaMarca; Disha Gupta; Christoph Guger
Journal:  Front Neuroeng       Date:  2014-11-18

9.  A comparison of two spelling Brain-Computer Interfaces based on visual P3 and SSVEP in Locked-In Syndrome.

Authors:  Adrien Combaz; Camille Chatelle; Arne Robben; Gertie Vanhoof; Ann Goeleven; Vincent Thijs; Marc M Van Hulle; Steven Laureys
Journal:  PLoS One       Date:  2013-09-25       Impact factor: 3.240

10.  Human enhancement through the lens of experimental and speculative neurotechnologies.

Authors:  Wessel Teunisse; Sandra Youssef; Markus Schmidt
Journal:  Hum Behav Emerg Technol       Date:  2019-10-14
  10 in total

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