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Electrographic Seizure Detection Algorithm

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@mchang58 mchang58 released this 17 Jan 23:46
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V1.0
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Learn about vigilant mode.

This is the version of the electrographic seizure detection algorithm mentioned in Chang et al., 2019, JoVE. This algorithm can be used to automate the time-consuming task of annotating epileptiform events in long local field potential (LFP) recordings, particularly from acute in vitro 4-AP seizure models, and ultimately expedite preclinical seizure research.

Features:

  • Mimic how human experts detect the onset and offset of epileptiform events from single channel LFP recordings
  • The ictal events detected and classified by the algorithm were >90% in agreement with human experts
  • The electrographic seizure onset times detected by the algorithm were within 1s of the annotations by human experts.
  • The algorithm is fast, required no training, and user-friendly for life science researchers (Video Tutorial Available)

Requirements:

  • Windows PC
  • MatLab R2015a (or later)
  • Wavelet Toolbox
  • Microsoft Office
  • 8 GB of RAM

Please read the Full Documentation (.pdf) in repository for complete details.

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