Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: High-density electroencephalographic recordings have recently been proved to bring useful information during the pre-surgical evaluation of patients suffering from drug-resistant epilepsy. Hover, these recordings can be particularly obscured by noise and artifacts.  focuses on the denoising of dense-array EEG data (e.g. 257 channels) contaminated with muscle artifacts. In this context,  compared the efficiency of several Independent Component Analysis (ICA) methods, namely SOBI, SOBIrob, PICA, InfoMax, two different implementations of FastICA, COM2, ERICA, and SIMBEC, as ll as that of Canonical Correlation Analysis (CCA).  evaluated the performance using the Normalized Mean Square Error (NMSE) criterion and calculated the numerical complexity. Quantitative results obtained on realistic simulated data show that some of the ICA methods as ll as CCA can properly remove muscular artifacts from dense-array EEG.
['Nasrin Taheri', 'Amar Kachenoura', 'Karim Ansari-Asl', 'Ahmad Karfoul', 'Lotfi Senhadji', 'Laurent Albera', 'Isabelle Merlet']
I am writing a research paper on a idea Feasibility of blind source separation methods for the denoising of dense-array EEG
[{"from": "human", "value": "I am writing a research paper on a idea Feasibility of blind source separation methods for the denoising of dense-array EEG"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: High-density electroencephalographic recordings have recently been proved to bring useful information during the pre-surgical evaluation of patients suffering from drug-resistant epilepsy. Hover, these recordings can be particularly obscured by noise and artifacts.  focuses on the denoising of dense-array EEG data (e.g. 257 channels) contaminated with muscle artifacts. In this context,  compared the efficiency of several Independent Component Analysis (ICA) methods, namely SOBI, SOBIrob, PICA, InfoMax, two different implementations of FastICA, COM2, ERICA, and SIMBEC, as ll as that of Canonical Correlation Analysis (CCA).  evaluated the performance using the Normalized Mean Square Error (NMSE) criterion and calculated the numerical complexity. Quantitative results obtained on realistic simulated data show that some of the ICA methods as ll as CCA can properly remove muscular artifacts from dense-array EEG."}]