Prediction Study of the Pain Phase of Migraine Attacks in Patients With Episodic Migraine

What this Trial Is About

Researchers are studying the ability to predict the pain phase of migraine attacks in patients with episodic migraine. This research focuses on identifying early warning signs through premonitory symptoms and continuous monitoring of hemodynamic variables using a wearable device. The study aims to develop personalized prediction algorithms for migraine attacks based on these real-time measurements. Since 2013, this line of research has been ongoing at the Hospital de La Princesa in collaboration with universities in Madrid and has led to several scientific publications and invention patents. Participants diagnosed with episodic migraine, who experience between 4 and 10 migraine attacks per month and have had migraine for at least one year, will be enrolled. Over a maximum of two months, they will use a wearable device to monitor their hemodynamic data continuously and record detailed clinical information about each migraine attack. The collected data will then be used to create individualized algorithms that aim to predict the onset of migraine pain. During the study, participants will be closely monitored for up to two months while they record their migraine characteristics and physiological data. Researchers will assess the development and effectiveness of the prediction model, measuring its ability to anticipate migraine pain onset. The study also involves regular follow-up to ensure participant adherence and to collect comprehensive data for analysis. The total participation time is approximately two months, during which researchers aim to generate predictive strategies for migraine attacks.

Migraine Attack Pain Phase Prediction Study