MBrain: towards the continuous follow-up and headache classification of primary headache disorder patients.

ABSTRACT:

Background

The diagnosis of headache disorders relies on the correct classification of individual headache attacks. Currently, this is mainly done by clinicians in a clinical setting, which is dependent on subjective self-reported input from patients. Existing classification apps also rely on self-reported information and lack validation. Therefore, the exploratory mBrain study investigates moving to continuous, semi-autonomous and objective follow-up and classification based on both self-reported and objective physiological and contextual data.

Methods

The data collection set-up of the observational, longitudinal mBrain study involved physiological data from the Empatica E4 wearable, data-driven machine learning (ML) algorithms detecting activity, stress and sleep events fr

SUBMITTER: De Brouwer M 

PROVIDER: S-EPMC8969243 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature