Login / Signup

Migraine classification using somatosensory evoked potentials.

Bingzhao ZhuGianluca CoppolaMahsa Shoaran
Published in: Cephalalgia : an international journal of headache (2019)
Our proposed model suggests the potential use of somatosensory evoked potentials as a prominent and reliable signal in migraine classification. This non-invasive somatosensory evoked potential-based classification system offers the potential to reliably separate migraine patients in ictal and interictal states from healthy controls.
Keyphrases
  • machine learning
  • end stage renal disease
  • deep learning
  • transcranial direct current stimulation
  • ejection fraction
  • human health
  • peritoneal dialysis
  • prognostic factors
  • climate change
  • temporal lobe epilepsy