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hfoapp  (MathWorks Inc)
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MathWorks Inc hfoapp
Example usage and output of <t>HFOApp.</t> A–C , To visually <t>detect</t> <t>HFOs</t> 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.
Hfoapp, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/hfoapp/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
hfoapp - by Bioz Stars, 2026-03
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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.

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: In this article, we introduced HFOApp, a MATLAB graphical user interface for manual marking of HFOs in intracranial electroencephalographic recordings.

Techniques: