TUAC

Temple University Artifact Corpus

BiomedicalEEG

A new subset of the popular open source electroencephalogram (EEG) corpus – TUH EEG:

  • The Temple University Artifact Corpus (TUAR) consists of high yield artifact files annotated using a five-way classification system:
  1. Chewing (CHEW): An artifact resulting from the tensing and relaxing of the jaw muscles.
  2. Electrode (ELEC): An artifact that encompasses various electrode related phenomena.
  3. Eye Movement (EYEM): A spike-like waveform created during patient eye movement.
  4. Muscle (MUSC): A common artifact with high frequency, sharp waves corresponding to patient movement.
  5. Shiver (SHIV): A specific and sustained sharp wave artifact that occurs when a patient shivers.
  • EEG artifacts are waveforms that are not of cerebral origin and may have been affected by several external and physiological factors.
  • These artifacts cause false alarms in seizure prediction machine learning systems. This corpus was developed to support research and evaluation of artifact suppression technology.