Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A problem of information separation in multichannel recordings is important in engineering applications such as brain computer/machine interfaces (BCI/BMI). Whereas this problem is not entirely new, engineering approaches connecting the mental states of humans and the observed electroencephalography (EEG) recordings are still in their infancy, mostly due to problems with electrophysiological denoising. The electrophysiological signals captured in form of the EEG carry brain activity in form of the neurophysiological components which are usually embedded in much higher por electrical muscle activity components (electromyography - EMG; electrooculography - EOG; etc.).   present an approach to remove muscular interference caused by eye-movements from EEG recorded during auditory experiments in an eight channel recording setting. This is achieved by analyzing the correlation of the oscillatory modes within a multichannel signal in the Hilbert domain. Simulations in a real world auditory BCI setting support the analysis.
['Tomasz M. Rutkowski', 'Andrzej Cichocki', 'Toshihisa Tanaka', 'Danilo P. Mandic', 'Jianting Cao', 'Anca L. Ralescu']
I am writing a research paper on a idea Multichannel spectral pattern separation - An EEG processing application -
[{"from": "human", "value": "I am writing a research paper on a idea Multichannel spectral pattern separation - An EEG processing application -"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A problem of information separation in multichannel recordings is important in engineering applications such as brain computer/machine interfaces (BCI/BMI). Whereas this problem is not entirely new, engineering approaches connecting the mental states of humans and the observed electroencephalography (EEG) recordings are still in their infancy, mostly due to problems with electrophysiological denoising. The electrophysiological signals captured in form of the EEG carry brain activity in form of the neurophysiological components which are usually embedded in much higher por electrical muscle activity components (electromyography - EMG; electrooculography - EOG; etc.).   present an approach to remove muscular interference caused by eye-movements from EEG recorded during auditory experiments in an eight channel recording setting. This is achieved by analyzing the correlation of the oscillatory modes within a multichannel signal in the Hilbert domain. Simulations in a real world auditory BCI setting support the analysis."}]