Use of EEG Technology with Based Brain-Computer Interface to Address Amyotrophic Lateral Sclerosis—ALS

2019 ◽  
pp. 433-439
Author(s):  
Nighat Mir ◽  
Akila Sarirete ◽  
Jehad Hejres ◽  
Manar Al Omairi
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Lateral Sclerosis

EEG correlates of P300-based brain–computer interface (BCI) performance in people with amyotrophic lateral sclerosis

2012 ◽  
Vol 9 (2) ◽  
pp. 026014 ◽  
Author(s):  
Joseph N Mak ◽  
Dennis J McFarland ◽  
Theresa M Vaughan ◽  
Lynn M McCane ◽  
Phillippa Z Tsui ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Lateral Sclerosis

scholarly journals Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis

Neurology ◽  
2018 ◽  
Vol 91 (3) ◽  
pp. e258-e267 ◽  
Author(s):  
Jonathan R. Wolpaw ◽  
Richard S. Bedlack ◽  
Domenic J. Reda ◽  
Robert J. Ringer ◽  
Patricia G. Banks ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Amyotrophic Lateral Sclerosis ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
It Use ◽  
Technical Problems ◽  
Rapid Disease Progression ◽  
And Performance ◽  
Lateral Sclerosis

ObjectiveTo assess the reliability and usefulness of an EEG-based brain-computer interface (BCI) for patients with advanced amyotrophic lateral sclerosis (ALS) who used it independently at home for up to 18 months.MethodsOf 42 patients consented, 39 (93%) met the study criteria, and 37 (88%) were assessed for use of the Wadsworth BCI. Nine (21%) could not use the BCI. Of the other 28, 27 (men, age 28–79 years) (64%) had the BCI placed in their homes, and they and their caregivers were trained to use it. Use data were collected by Internet. Periodic visits evaluated BCI benefit and burden and quality of life.ResultsOver subsequent months, 12 (29% of the original 42) left the study because of death or rapid disease progression and 6 (14%) left because of decreased interest. Fourteen (33%) completed training and used the BCI independently, mainly for communication. Technical problems were rare. Patient and caregiver ratings indicated that BCI benefit exceeded burden. Quality of life remained stable. Of those not lost to the disease, half completed the study; all but 1 patient kept the BCI for further use.ConclusionThe Wadsworth BCI home system can function reliably and usefully when operated by patients in their homes. BCIs that support communication are at present most suitable for people who are severely disabled but are otherwise in stable health. Improvements in BCI convenience and performance, including some now underway, should increase the number of people who find them useful and the extent to which they are used.

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

2015 ◽  
Vol 126 (11) ◽  
pp. 2124-2131 ◽  
Author(s):  
Lynn M. McCane ◽  
Susan M. Heckman ◽  
Dennis J. McFarland ◽  
George Townsend ◽  
Joseph N. Mak ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Brain Computer Interface ◽  
Event Related Potentials ◽  
Computer Interface ◽  
Related Potentials ◽  
Lateral Sclerosis

scholarly journals Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
Nikolay V. Manyakov ◽  
Nikolay Chumerin ◽  
Adrien Combaz ◽  
Marc M. Van Hulle
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Classification Accuracy ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Classification Methods ◽  
Linear Classifier ◽  
Typing System ◽  
The Individual ◽  
Lateral Sclerosis ◽  
Selection Of

We report on tests with a mind typing paradigm based on a P300 brain-computer interface (BCI) on a group of amyotrophic lateral sclerosis (ALS), middle cerebral artery (MCA) stroke, and subarachnoid hemorrhage (SAH) patients, suffering from motor and speech disabilities. We investigate the achieved typing accuracy given the individual patient's disorder, and how it correlates with the type of classifier used. We considered 7 types of classifiers, linear as well as nonlinear ones, and found that, overall, one type of linear classifier yielded a higher classification accuracy. In addition to the selection of the classifier, we also suggest and discuss a number of recommendations to be considered when building a P300-based typing system for disabled subjects.

scholarly journals Brain computer interface with the P300 speller: Usability for disabled people with amyotrophic lateral sclerosis

2018 ◽  
Vol 61 (1) ◽  
pp. 5-11 ◽  
Author(s):  
Violaine Guy ◽  
Marie-Hélène Soriani ◽  
Mariane Bruno ◽  
Théodore Papadopoulo ◽  
Claude Desnuelle ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Disabled People ◽  
P300 Speller ◽  
Lateral Sclerosis

scholarly journals Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis

2019 ◽  
Vol 130 (10) ◽  
pp. 1798-1803 ◽  
Author(s):  
Elmar G.M. Pels ◽  
Erik J. Aarnoutse ◽  
Sacha Leinders ◽  
Zac V. Freudenburg ◽  
Mariana P. Branco ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Late Stage ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Lateral Sclerosis
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