Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Several feature types have been used with EEG-based Brain-Computer Interfaces. Among the most popular are logarithmic band por estimates with more or less subject-specific optimization of the frequency bands.   introduce a feature called Time Domain Parameter that is defined by the generalization of the Hjorth parameters. Time Domain Parameters are studied under two different conditions. The first setting is defined when no data from a subject is available. In this condition our results show that Time Domain Parameters outperform all band por features tested with all spatial filters applied. The second setting is the transition from calibration (no feedback) to feedback, in which the frequency content of the signals can change for some subjects.  compare Time Domain Parameters with logarithmic band por in subject-specific bands and show that these features are advantageous in this situation as ll.
['Carmen Vidaurre', 'Nicole Krämer', 'Benjamin Blankertz', 'Alois Schlögl']
I am writing a research paper on a idea 2009 Special Issue: Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces
[{"from": "human", "value": "I am writing a research paper on a idea 2009 Special Issue: Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Several feature types have been used with EEG-based Brain-Computer Interfaces. Among the most popular are logarithmic band por estimates with more or less subject-specific optimization of the frequency bands.   introduce a feature called Time Domain Parameter that is defined by the generalization of the Hjorth parameters. Time Domain Parameters are studied under two different conditions. The first setting is defined when no data from a subject is available. In this condition our results show that Time Domain Parameters outperform all band por features tested with all spatial filters applied. The second setting is the transition from calibration (no feedback) to feedback, in which the frequency content of the signals can change for some subjects.  compare Time Domain Parameters with logarithmic band por in subject-specific bands and show that these features are advantageous in this situation as ll."}]