HFOApp is a MATLAB-based software developed by Guangyu Zhou and colleagues for detecting and identifying HFOs. HFOs, or high frequency oscillations observed in EEG recordings, are used as a biomarker in epilepsy. Previously, HFOs in EEG recordings had to be manually marked, which is a time-consuming and labor-intensive process. HFOApp addresses these challenges by offering an intuitive GUI that combines manual marking with automation tools. This streamlines the marking process, significantly reducing the time required for EEG analysis while also enhancing inter-rater reliability. The source code along with full documentation can be found on the lab’s Github page.
This research tool was created by your colleagues. Please acknowledge the Principal Investigator, cite the article in which the tool was described, and include an RRID in the Materials and Methods of your future publications. RRID: SCR_024864
Special thanks to Marly Rubin, a neuroscience undergraduate at American University, for providing this project summary.
Access the code from GitHub!
Check out the HFOApp repository on GitHub.