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Data Sciences International
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Looxid Labs
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BioSemi
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BioSemi
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BIOPAC
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Image Search Results
Journal: PLoS ONE
Article Title: Cerebral cortex and autonomic nervous system responses during emotional memory processing
doi: 10.1371/journal.pone.0229890
Figure Lengend Snippet: The emotional audiovisual recall task required the participants to watch a video footage for 40 seconds (Watching) and recall the contents of the videos with their eyes closed for 180 seconds (Recalling). The participants were presented with pleasant stimuli in session 1 and with unpleasant stimuli in session 2. In the beginning of each session, a quiescent state with the eyes closed was imposed (Control) for 120 seconds in session 1 or 180 seconds in session 2. This sequential watching-and-recalling epoch was repeated 3 times (epochs 1, 2, and 3) with the same kind of stimuli. EEG and ECG were analyzed during the Control and Recall periods. The subjects were instructed to breathe naturally during EEG and ECG recordings.
Article Snippet: EEG and
Techniques: Control
Journal: PLoS ONE
Article Title: Cerebral cortex and autonomic nervous system responses during emotional memory processing
doi: 10.1371/journal.pone.0229890
Figure Lengend Snippet: (A) A series of RR intervals ( RRI n ) was derived from the ECG. (B) After the spline interpolation, resampling was conducted. (C) Spectral analysis using a fast Fourier transform was applied to the resampled time series of the RR interval for about 60 s (59.392 s) at intervals of 2.048 s. (D) The absolute power spectra values in low frequency (LF, 0.04–0.15 Hz) and high frequency (HF, 0.15–0.40 Hz) components were obtained. (E) The power spectra of LF/HF were calculated from the power spectra values of LF and HF in fifty-seven or fifty-eight segments to obtain a time series of the power spectra of LF/HF ( X C ).
Article Snippet: EEG and
Techniques: Derivative Assay
Journal: Frontiers in Neuroinformatics
Article Title: Novel Hybrid Brain-Computer Interface for Virtual Reality Applications Using Steady-State Visual-Evoked Potential-Based Brain–Computer Interface and Electrooculogram-Based Eye Tracking for Increased Information Transfer Rate
doi: 10.3389/fninf.2022.758537
Figure Lengend Snippet: The configurations of the electrodes: (A) locations of EEG electrodes and (B) EOG electrodes.
Article Snippet: Indeed, some commercial VR-HMD systems with
Techniques:
Journal: Frontiers in Neuroinformatics
Article Title: Novel Hybrid Brain-Computer Interface for Virtual Reality Applications Using Steady-State Visual-Evoked Potential-Based Brain–Computer Interface and Electrooculogram-Based Eye Tracking for Increased Information Transfer Rate
doi: 10.3389/fninf.2022.758537
Figure Lengend Snippet: A schematic diagram of the proposed hybrid BCI system. The visual stimuli were presented to the user via a VR-HMD, which was controlled by Unity software in a PC. The EEG signals were measured from a user by a biosignal amplifier (BioSemi ActiveTwo).
Article Snippet: Indeed, some commercial VR-HMD systems with
Techniques: Software