Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The state of brain and its rapid transition from one state to the other is responsible for various activities and cognitive functions. These brain states are the result of balanced coordination beten integrating and segregating activities of different lobes through rhythmic oscillations. Such coordination has been studied in recent times through synchronization of EEG signals generated from different lobes. , the authors have considered Synchronization Likelihood (SL) to measure the synchronization or integration beten the lobes. The synchronization information is stored in SL matrix and the principal components of an SL matrix have been used to represent the state of brain at any instant. Finally, the time series of ight vectors corresponding to the principal components of SL matrices at each time point has been used to classify different states of brain at different stages of a sleep deprived experiment.
['Aurobinda Routray', 'Sibsambhu Kar']
I am writing a research paper on a idea Classification of brain states using principal components analysis of cortical EEG synchronization and HMM
[{"from": "human", "value": "I am writing a research paper on a idea Classification of brain states using principal components analysis of cortical EEG synchronization and HMM"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The state of brain and its rapid transition from one state to the other is responsible for various activities and cognitive functions. These brain states are the result of balanced coordination beten integrating and segregating activities of different lobes through rhythmic oscillations. Such coordination has been studied in recent times through synchronization of EEG signals generated from different lobes. , the authors have considered Synchronization Likelihood (SL) to measure the synchronization or integration beten the lobes. The synchronization information is stored in SL matrix and the principal components of an SL matrix have been used to represent the state of brain at any instant. Finally, the time series of ight vectors corresponding to the principal components of SL matrices at each time point has been used to classify different states of brain at different stages of a sleep deprived experiment."}]