Brain-Computer Interfaces
The success of a BCI system depends as much on the system itself as on the user’s ability to produce distinctive EEG activity. BCI systems can be divided into two groups according to the placement of the electrodes used to detect and measure neurons firing in the brain. These groups are: invasive sy...
Đã lưu trong:
| Những tác giả chính: | , |
|---|---|
| Định dạng: | Sách |
| Ngôn ngữ: | English |
| Được phát hành: |
Springer
2015
|
| Những chủ đề: | |
| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57922 |
| Các nhãn: |
Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
|
| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
|---|
| id |
oai:scholar.dlu.edu.vn:DLU123456789-57922 |
|---|---|
| record_format |
dspace |
| spelling |
oai:scholar.dlu.edu.vn:DLU123456789-579222023-11-11T05:54:35Z Brain-Computer Interfaces Hassanien, Aboul Ella Taher Azar, Ahmad Brain-computer interfaces Social Aspects Human-Computer Artificial intelligence The success of a BCI system depends as much on the system itself as on the user’s ability to produce distinctive EEG activity. BCI systems can be divided into two groups according to the placement of the electrodes used to detect and measure neurons firing in the brain. These groups are: invasive systems, electrodes are inserted directly into the cortex are used for single cell or multi unit recording, and electrocorticography (EcoG), electrodes are placed on the surface of the cortex (or dura); noninvasive systems, they are placed on the scalp and use electroencephalography (EEG) or magnetoencephalography (MEG) to detect neuron activity. 2015-09-03T01:18:51Z 2015-09-03T01:18:51Z 2015 Book 978-3-319-10978-7 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57922 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Brain-computer interfaces Social Aspects Human-Computer Artificial intelligence |
| spellingShingle |
Brain-computer interfaces Social Aspects Human-Computer Artificial intelligence Hassanien, Aboul Ella Taher Azar, Ahmad Brain-Computer Interfaces |
| description |
The success of a BCI system depends as much on the system itself as on the user’s ability to produce distinctive EEG activity. BCI systems can be divided into two groups according to the placement of the electrodes used to detect and measure neurons firing in the brain. These groups are: invasive systems, electrodes are inserted directly into the cortex are used for single cell or multi unit recording, and electrocorticography (EcoG), electrodes are placed on the surface of the cortex (or dura); noninvasive systems, they are placed on the scalp and use electroencephalography (EEG) or magnetoencephalography (MEG) to detect neuron activity. |
| format |
Book |
| author |
Hassanien, Aboul Ella Taher Azar, Ahmad |
| author_facet |
Hassanien, Aboul Ella Taher Azar, Ahmad |
| author_sort |
Hassanien, Aboul Ella |
| title |
Brain-Computer Interfaces |
| title_short |
Brain-Computer Interfaces |
| title_full |
Brain-Computer Interfaces |
| title_fullStr |
Brain-Computer Interfaces |
| title_full_unstemmed |
Brain-Computer Interfaces |
| title_sort |
brain-computer interfaces |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57922 |
| _version_ |
1819768101896454144 |