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Image Search Results
Journal: eNeuro
Article Title: HFOApp: A MATLAB Graphical User Interface for High-Frequency Oscillation Marking
doi: 10.1523/ENEURO.0509-20.2021
Figure Lengend Snippet: Example usage and output of HFOApp. A–C , To visually detect HFOs in our test dataset, we opened the following three windows: a main window that shows raw data ( A ); a bandpass-filtered window (80–250 Hz for ripple detection; B ); and a spectrogram window for the first channel ( C ). The cursor is indicated as a blue ( A , B ) or black ( C ) vertical line. The red dashed rectangle indicates the boundaries of a detected HFO. A summary of the characteristics of the detected event is shown above the plot in blue font.
Article Snippet: Here, we present
Techniques: