Title |
A Brain-Computer Interface Based on Bilateral Transcranial Doppler Ultrasound
|
---|---|
Published in |
PLOS ONE, September 2011
|
DOI | 10.1371/journal.pone.0024170 |
Pubmed ID | |
Authors |
Andrew J. B. Myrden, Azadeh Kushki, Ervin Sejdić, Anne-Marie Guerguerian, Tom Chau |
Abstract |
In this study, we investigate the feasibility of a BCI based on transcranial Doppler ultrasound (TCD), a medical imaging technique used to monitor cerebral blood flow velocity. We classified the cerebral blood flow velocity changes associated with two mental tasks--a word generation task, and a mental rotation task. Cerebral blood flow velocity was measured simultaneously within the left and right middle cerebral arteries while nine able-bodied adults alternated between mental activity (i.e. word generation or mental rotation) and relaxation. Using linear discriminant analysis and a set of time-domain features, word generation and mental rotation were classified with respective average accuracies of 82.9%±10.5 and 85.7%±10.0 across all participants. Accuracies for all participants significantly exceeded chance. These results indicate that TCD is a promising measurement modality for BCI research. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 25% |
United States | 1 | 25% |
Korea, Republic of | 1 | 25% |
Italy | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Bangladesh | 2 | 2% |
Germany | 2 | 2% |
Canada | 2 | 2% |
Malaysia | 1 | 1% |
United Kingdom | 1 | 1% |
Australia | 1 | 1% |
Korea, Republic of | 1 | 1% |
United States | 1 | 1% |
Unknown | 80 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 29% |
Student > Bachelor | 17 | 19% |
Researcher | 13 | 14% |
Student > Master | 12 | 13% |
Professor > Associate Professor | 7 | 8% |
Other | 9 | 10% |
Unknown | 7 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 29 | 32% |
Computer Science | 10 | 11% |
Agricultural and Biological Sciences | 9 | 10% |
Medicine and Dentistry | 9 | 10% |
Psychology | 7 | 8% |
Other | 14 | 15% |
Unknown | 13 | 14% |