title: A comparison between detectors of high frequency oscillations.
abstract: OBJECTIVE
  High frequency oscillations (HFOs) are a biomarker of epileptogenicity. Visual marking of HFOs is highly time-consuming and inevitably subjective, making automatic detection necessary. We compare four existing detectors on the same dataset.
  
  
  METHODS
  HFOs and baselines were identified by experienced reviewers in intracerebral EEGs from 20 patients. A new feature of our detector to deal with channels where baseline cannot be found is presented. The original and an optimal configuration are implemented. Receiver operator curves, false discovery rate, and channel ranking are used to evaluate performance.
  
  
  RESULTS
  All detectors improve performance with the optimal configuration. Our detector had higher sensitivity, lower false positives than the others, and similar false detections. The main difference in performance was in very active channels.
  
  
  CONCLUSIONS
  Each detector was developed for different recordings and with different aims. Our detector performed better in this dataset, but was developed on data similar to the test data. Moreover, optimizing on a particular data type improves performance in any detector.
  
  
  CONCLUSIONS
  Automatic HFO detection is crucial to propel their clinical use as biomarkers of epileptogenic tissue. Comparing detectors on a single dataset is important to analyze their performance and to emphasize the issues involved in validation.
authors.affiliation: Montreal Neurological Institute and Hospital, McGill University, Montreal, Québec, Canada. rina.zelmann@mail.mcgill.ca
authors.forename: R
authors.initials: R
authors.lastname: Zelmann
authors.forename: F
authors.initials: F
authors.lastname: Mari
authors.forename: J
authors.initials: J
authors.lastname: Jacobs
authors.forename: M
authors.initials: M
authors.lastname: Zijlmans
authors.forename: F
authors.initials: F
authors.lastname: Dubeau
authors.forename: J
authors.initials: J
authors.lastname: Gotman
mesh_terms: D000328:Adult; D001683:Biological Clocks / Q000502:physiology; D001931:Brain Mapping / Q000379:methods*; D004567:Electrodes, Implanted; D004569:Electroencephalography / Q000379:methods; D004827:Epilepsy / Q000175:diagnosis / Q000503:physiopathology* / Q000601:surgery; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D012890:Sleep / Q000502:physiology