Annotated interictal discharges in intracranial EEG sleep data and related machine learning detection scheme
Rotem Falach, Maya Geva-Sagiv, Dawn Eliashiv, Lilach Goldstein, Ofer Budin, Guy Gurevitch, Genela Morris, Ido Strauss, Amir Globerson, Firas Fahoum, Itzhak Fried, Yuval Nir · 2024
Read Annotated interictal discharges in intracranial EEG sleep data and related machine learning detection scheme by Rotem Falach, Maya Geva-Sagiv, Dawn Eliashiv, Lilach Goldstein, Ofer Budin, Guy Gurevitch, Genela Morris, Ido Strauss, Amir Globerson, Firas Fahoum, Itzhak Fried, Yuval Nir (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11655530.txt.
Description
Rotem Falach and eleven co-authors release a labeled dataset of epileptic spikes in sleep brain recordings. Their 2024 paper also ships a detector trained on the labels. The spikes, called interictal discharges, flare between seizures, mostly in deep sleep. They are tied to worse memory, yet most detection still relies on eyes or crude thresholds.
Electrodes inside the brain recorded overnight sleep at two hospitals. Expert neurologists marked the spikes with sub-second timing. A boosting algorithm learned from those marks. It caught about ninety-four percent of spikes with matching precision. The detector beat a leading commercial tool and generalized across patients. Data and code are public for method builders.
Catalog record
| CREATOR | Rotem Falach, Maya Geva-Sagiv, Dawn Eliashiv, Lilach Goldstein, Ofer Budin, Guy Gurevitch, Genela Morris, Ido Strauss, Amir Globerson, Firas Fahoum, Itzhak Fried, Yuval Nir |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 29 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |