Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 王柏升 | en_US |
dc.contributor.author | Wang, Po-Sheng | en_US |
dc.contributor.author | 林進燈 | en_US |
dc.contributor.author | Lin, Chin-Teng | en_US |
dc.date.accessioned | 2014-12-12T02:36:25Z | - |
dc.date.available | 2014-12-12T02:36:25Z | - |
dc.date.issued | 2012 | en_US |
dc.identifier.uri | http://140.113.39.130/cdrfb3/record/nctu/#GT070060074 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/72917 | - |
dc.description.abstract | 腦機介面 (Brain-Computer Interface, BCI) 是一種大腦與外界環境的溝通工具。而透過腦電位(Electroencephalography, EEG)訊號的量測,腦機介面提供了肢體失能者一個與外界溝通的管道。但是傳統的EEG量測大多是使用濕電極,這就意味著需要較長的準備時間包括皮膚的處理以及導電膠塗抹。而隨著時間的拉長,導電膠會逐漸乾涸並且造成效能下降,所以造成許多使用的不便。 在這篇論文,我們嘗試設計一套重量輕可攜式無線傳輸8通道數位化主動式電路腦波量測系統搭配乾電極。由於主動式電極的優點,使它適合應用於日常生活中並且可以提升乾電極的效能,並且希望透過這套系統,能夠幫助失能者以及一般人提升生活品質。我們設計了四個實驗來驗證這一套腦波量測系統,並且與另一套系統做比較。希望能夠驗證其系統的可靠度。 | zh_TW |
dc.description.abstract | A brain-computer interface (BCI) is communication systems that can help users interact with the outside environment. The use of electroencephalographic (EEG) signal has become the most common approach for BCI and provides a way for those disabled to communicate with outside environment. However the most common way for traditional EEG measurement is through wet sensor, which means need more preparing time include the skin preparation and the use of conductive gel. But when the time passes, the conductive gel will dry up and cause the degradation of performance. Overall, it is quite inconvenient when patient uses wet sensors in measuring EEG signal. In this study, we try to design a light, portable, wearable, wireless, 8-channel digital active circuit EEG signal acquisition system with dry sensors. These advantages of active circuit EEG acquisition system are suited for human operate in daily life and also improves the performance of dry sensor. And hopefully it can help disabled and healthy people to enjoy the convenience from BCIs in daily life by using this system. To verify this system, we designed four experiments and compared this system with another system hoping to verify the reliability of this system. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | 腦機介面 | zh_TW |
dc.subject | 腦電圖 | zh_TW |
dc.subject | 乾電極 | zh_TW |
dc.subject | Alpha 波 | zh_TW |
dc.subject | 事件誘發電位 | zh_TW |
dc.subject | BCI | en_US |
dc.subject | EEG | en_US |
dc.subject | Dry sensor | en_US |
dc.subject | Aplha wave | en_US |
dc.subject | ERP | en_US |
dc.title | 設計與驗證之乾電極多通道數位化主動式腦波量測系統 | zh_TW |
dc.title | Design and Verify a Dry-Sensor Based Multi-Channel Digital Active Circuit for EEG Signal Acquisition System | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | 電控工程研究所 | zh_TW |
Appears in Collections: | Thesis |