Predicting Migraine Attacks Based on Environmental and Behavioral Changes as Detected From the Smartphone
Predicting Migraine Attacks Based on Environmental and Behavioral Changes as Detected From the Smartphone
This study is conducted at the Henry Ford Health System with Lifegraph's behavioral
 monitoring technology, to examine the relation between migraine attacks and behavioral and
 environmental changes as detected from the smartphone sensors. The investigators hypothesize
 that Lifegraph's technology can predict the occurrence of migraine attacks with high
 precision.
Migraine attacks can damage quality of life and lead to missed work days if not treated in
 time. These attacks last for about 4-72 hours, accompanied by headache and other symptoms.
 The time window for early intervention, which can potentially reduce the severity of an
 attack, lasts 2-48 hours before symptoms are starting to appear (10 hours on average). This
 time window is defined in the literature as the prodromal phase, when intervention during
 this phase can allow early treatment to improve the patient's condition and reduce the
 intensity and duration of the attack.

 Migraine attacks and the prodromal phase can be characterized by one or more behavioral or
 environmental symptoms, either causal or resultant. Some of them can be passively measured by
 the smartphone usage, such as changes in sleep, physical activity and weather.

 Lifegraph's smartphone application runs in the background of the subjects' personal
 smartphone, collects data passively and automatically, while rigorously maintaining privacy
 and with no effect to the daily use. Proprietary machine-learning algorithms analyze the
 collected data and turn it into behavioral channels, such as activity, sleep and mobility.
 The technology learns the personal routine of each user and detects changes in his/her
 behavioral patterns that can indicate an upcoming migraine.

 Eligible subjects will meet a neurologist, sign an informed consent, fill an initial
 questionnaire and install the Lifegraph application on their smartphone. The application
 requires a one-time registration process.

 During the study, subjects will self-report migraine attacks they experience through the
 smartphone application. Each report will include start time, end time and pain intensity.
 Data will be analyzed during the study in order to learn each subject's behavior and his/her
 migraine attacks. Subjects will be blinded to the app's migraine predictions to avoid
 expectancy bias.
Inclusion Criteria:

 -  Individuals who suffer from episodic migraine with 4-14 days of migraine per month
 (ICHD-3 patients).

 -  Individuals who possess a smartphone - Android version 5.0 and above or iOS version
 10.0 and above.

 Exclusion Criteria:

 -  Individuals who are unable to sign the consent form.

 -  Pregnant women.

 -  Individuals suffering from headaches that do not meet the IHS migraine criteria or
 don't have moderate to severe chronic pain of VAS chronic grade 4 and above.