AI-Powered Fatigue Solutions: Transforming Care for Neurological Conditions

Project Code

MRCNMH25Ex Mansoubi

Research Theme

Neuroscience & Mental Health

Project Summary Download

Summary

Fatigue is a major issue for individuals with neurological conditions, often leading to lower quality of life. This project aims to empower these individuals through an AI-powered fatigue management tool using data fusion from wearable technologies that track physiological data, such as heart rate, sleep patterns, and physical activity, combined with an app to log symptoms. A machine learning algorithm will be developed to predict fatigue patterns, allowing users to plan activities and rest proactively. This tool will help organise tasks and energy management, send personalised reminders, and support better fatigue management while assisting healthcare professionals in making informed decisions.

Lead Supervisor

Dr Maedeh Mansoubi

Lead Supervisor Email

m.mansoubi@exeter.ac.uk

University Affiliation

Exeter