Abstract
Therapeutic methods based on efferent signals from the patients' brain have been studied extensively in the field of brain-computer interfaces and applied to paralysed and stroke patients. Invasive stimulation is used as a therapeutic tool for patients with Parkinson disease, intractable chronic pain and other neurological diseases. We give a short review of currently used applications for cortical stimulation for stroke patients and brain-computer interfaces for paralyzed patients. We propose a refined approach for stroke rehabilitation as well as the extension of the use of invasive cortical stimulation to ALS patients with an experimental setup inspired by classical conditioning to facilitate the communication with brain-computer interfaces for LIS and CLIS patients. A closed-loop system is described with sophisticated methods for the identification of recording and stimulation sites, feature extraction and adaptation of stimulation algorithms to the patient in order to design a bidirectional cortical communication interface (BCCI).
| Original language | English |
|---|---|
| Title of host publication | IJCCI 2009 - International Joint Conference on Computational Intelligence, Proceedings |
| Pages | 440-445 |
| Number of pages | 6 |
| Publication status | Published - 2009 |
| Event | 1st International Joint Conference on Computational Intelligence, IJCCI 2009 - Funchal, Madeira, Portugal Duration: Oct 5 2009 → Oct 7 2009 |
Other
| Other | 1st International Joint Conference on Computational Intelligence, IJCCI 2009 |
|---|---|
| Country | Portugal |
| City | Funchal, Madeira |
| Period | 10/5/09 → 10/7/09 |
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Keywords
- Adaptive stimulation
- ALS
- Brain-computer interface
- Cortical stimulation
- Stroke
ASJC Scopus subject areas
- Artificial Intelligence
- Computational Theory and Mathematics
- Software
Cite this
BCCI - A bidirectional cortical communication interface. / Walter, A.; Bensch, M.; Brugger, D.; Rosenstiel, W.; Bogdan, M.; Birbaumer, N.; Gharabaghi, A.
IJCCI 2009 - International Joint Conference on Computational Intelligence, Proceedings. 2009. p. 440-445.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - BCCI - A bidirectional cortical communication interface
AU - Walter, A.
AU - Bensch, M.
AU - Brugger, D.
AU - Rosenstiel, W.
AU - Bogdan, M.
AU - Birbaumer, N.
AU - Gharabaghi, A.
PY - 2009
Y1 - 2009
N2 - Therapeutic methods based on efferent signals from the patients' brain have been studied extensively in the field of brain-computer interfaces and applied to paralysed and stroke patients. Invasive stimulation is used as a therapeutic tool for patients with Parkinson disease, intractable chronic pain and other neurological diseases. We give a short review of currently used applications for cortical stimulation for stroke patients and brain-computer interfaces for paralyzed patients. We propose a refined approach for stroke rehabilitation as well as the extension of the use of invasive cortical stimulation to ALS patients with an experimental setup inspired by classical conditioning to facilitate the communication with brain-computer interfaces for LIS and CLIS patients. A closed-loop system is described with sophisticated methods for the identification of recording and stimulation sites, feature extraction and adaptation of stimulation algorithms to the patient in order to design a bidirectional cortical communication interface (BCCI).
AB - Therapeutic methods based on efferent signals from the patients' brain have been studied extensively in the field of brain-computer interfaces and applied to paralysed and stroke patients. Invasive stimulation is used as a therapeutic tool for patients with Parkinson disease, intractable chronic pain and other neurological diseases. We give a short review of currently used applications for cortical stimulation for stroke patients and brain-computer interfaces for paralyzed patients. We propose a refined approach for stroke rehabilitation as well as the extension of the use of invasive cortical stimulation to ALS patients with an experimental setup inspired by classical conditioning to facilitate the communication with brain-computer interfaces for LIS and CLIS patients. A closed-loop system is described with sophisticated methods for the identification of recording and stimulation sites, feature extraction and adaptation of stimulation algorithms to the patient in order to design a bidirectional cortical communication interface (BCCI).
KW - Adaptive stimulation
KW - ALS
KW - Brain-computer interface
KW - Cortical stimulation
KW - Stroke
UR - http://www.scopus.com/inward/record.url?scp=77954392529&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77954392529&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:77954392529
SN - 9789896740146
SP - 440
EP - 445
BT - IJCCI 2009 - International Joint Conference on Computational Intelligence, Proceedings
ER -