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SYSTEMS AND METHOD PROVIDING A UNIFIED FRAMEWORK FOR DE-NOISING NEURAL SIGNALS
SYSTEMS AND METHOD PROVIDING A UNIFIED FRAMEWORK FOR DE-NOISING NEURAL SIGNALS
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机译:提供用于对神经信号进行去噪的统一框架的系统和方法
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摘要
A method removing artifacts from neural signals comprises receiving electroencephalography (EEG) data from an EEG system and providing the EEG data to a unified artifact removal framework for cleaning artifacts. The EEG data is provided to a first cleaning framework utilizing the first reference to clean first artifacts from the EEG data, and the outputting the EEG data from the first cleaning framework to a second cleaning framework. The second cleaning framework may operate in a similar manner utilizing second reference to clean second artifacts from the EEG data. This general process may be repeated as desired to clean various artifacts from EEG data, when a suitable reference for the artifacts to be removed is utilized. The frameworks utilize H∞ method or filtering involving a H∞ adapting rule to properly weigh the reference, and combining the subsequent output with incoming EEG data results in the desired removal of artifacts.
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