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- W995550032 abstract "Brain Computer Interfaces (BCI) are systems that are capable of translating information from the neuronal activity of a subject into controlling signals for devices. The present work aims at using a modified algorithm for the multiple magnitude-squared coherence (MMSC) estimation for increasing both sensibility and specificity of the decision system, as well as to reduce the response time. The algorithms were developed for real time calculation and for obtaining BCI controlling signals with lowest latency. EEG from five subjects has been collected using monopolar leads with each subject seated in front of a monitor containing four distinct LEDs each of which flickering at a distinct frequency. The MMSC was used to determine to which LED the subject was looking at and this result was used for a BCI that controlled the cursor movement. The proposed system is capable of detecting responses within a time lag that is below 4.54 s with average area under the ROC curve equal to 0.91. Best values for the system sensitivity and specificity were found to be, respectively, 88.3 % and 73.2 %." @default.
- W995550032 created "2016-06-24" @default.
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- W995550032 date "2015-01-01" @default.
- W995550032 modified "2023-09-25" @default.
- W995550032 title "A Brain Computer Interface (BCI) based on intermittent photic-stimulation using multiple coherence to command detection" @default.
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- W995550032 doi "https://doi.org/10.1007/978-3-319-19387-8_289" @default.
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