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ID06459635

Study to Predict the Pain Phase of Migraine Attacks Using Wearable Monitoring in Adults with Episodic Migraine

Led by Fundación de Investigación Biomédica - Hospital Universitario de La Princesa · Updated on 2026-07-02

70

Participants Needed

1

Research Sites

N/A

Total Duration

AI-Summary

What this Trial Is About

Researchers are investigating the ability to predict pain during a migraine attack by monitoring premonitory symptoms and using a wearable ambulatory device that records real-time hemodynamic variables. This study focuses on patients with episodic migraine and aims to develop individualized algorithms to forecast migraine onset. The work builds on previous research conducted since 2013 by a specialized headache unit and associated universities, supported by several patents. Participants with episodic migraine will use a wearable device for up to two months to continuously monitor their hemodynamic data and record detailed clinical features of their migraine attacks. These data will be used to create a personalized prediction algorithm for each patient. The study involves two groups patients with frequent episodic migraine diagnosed by a neurologist according to established criteria, and control participants without migraine headaches or family history of migraine. During the study, participants will monitor their migraine symptoms and physiological signals, providing data over a two-month follow-up period. Researchers will evaluate the development and effectiveness of the prediction model, aiming to accurately anticipate migraine pain phases. Participants are expected to have the capacity to manage smartphone devices and complete the follow-up, with safety monitored through neurological exams and exclusion of conditions that could interfere with the study or device use.

CONDITIONS

Brief Title

Migraine Attack Pain Phase Prediction Study

Research Team

A

Ana Beatriz Gago Veiga

I

Iris Fernández Lázaro

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