Migraine is one of the most common neurological disorders, affecting over 1 billion people worldwide , ranked second among the causes of disability globally  and there are no clinical biomarkers for migraine attacks . While the term migraine is usually associated with the few hours of the pain phase, the physical and clinical changes associated with the migraine phenomena may start a few days prior to the pain phase and may last a few days afterward, therefore, can be divided into 3 stages ; (1) The migraine prodrome: Premonitory symptoms that occur before the headache phase, (2) The headache phase: lasts 4-72 hours, (3) The migraine postdrome: Residual symptoms after the pain phase that may last up to 72 hours.Understanding migraine attack phases can help anticipate and manage the symptoms. Therefore, our aim is to demonstrate the ability to distinguish between the different migraine stages using personal physiological metrics based on continuously monitoring by smartwatches. Using data collected continuously from smart watches and cellular phones, we can identify precursors and conditions that are correlated with different stages of migraine attacks.
Contributors: Moria Dagan, Adar Frenkel, Aviv Balassiano, Tamar Spector, Gad Resef, and Eddie Aronovich