Difference between revisions of "Signal Processing"
MWronkiewicz (talk | contribs) (Created page with 'Currently, the primary focus of the signal processing group is spatial filtering. Spacial filtering is the process of defining a reference for electrode voltages. Numerous refe…') |
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Currently, the primary focus of the signal processing group is spatial filtering. Spacial filtering is the process of defining a reference for electrode voltages. Numerous referencing methods exist for EEG (electroencephelograph) and BCI (Brain-Computer Interface) applications, including simple ear reference, Common Average Reference, and Small and Large Laplacian references. Choosing the optimal spatial filtering method can greatly improve the effectiveness of a BCI system. Significant research has been conducted on different spatial filtering techniques for clinical EEG caps, which are robust but cumbersome and expensive, but there are many new challenges that arise from using the less adept but sleeker and less expensive Emotiv EPOC headset. | Currently, the primary focus of the signal processing group is spatial filtering. Spacial filtering is the process of defining a reference for electrode voltages. Numerous referencing methods exist for EEG (electroencephelograph) and BCI (Brain-Computer Interface) applications, including simple ear reference, Common Average Reference, and Small and Large Laplacian references. Choosing the optimal spatial filtering method can greatly improve the effectiveness of a BCI system. Significant research has been conducted on different spatial filtering techniques for clinical EEG caps, which are robust but cumbersome and expensive, but there are many new challenges that arise from using the less adept but sleeker and less expensive Emotiv EPOC headset. | ||
Latest revision as of 19:37, 21 October 2011
Project and Motivation
Currently, the primary focus of the signal processing group is spatial filtering. Spacial filtering is the process of defining a reference for electrode voltages. Numerous referencing methods exist for EEG (electroencephelograph) and BCI (Brain-Computer Interface) applications, including simple ear reference, Common Average Reference, and Small and Large Laplacian references. Choosing the optimal spatial filtering method can greatly improve the effectiveness of a BCI system. Significant research has been conducted on different spatial filtering techniques for clinical EEG caps, which are robust but cumbersome and expensive, but there are many new challenges that arise from using the less adept but sleeker and less expensive Emotiv EPOC headset.
