Detecting Fatigue From Voice in Generalised Myasthenia Gravis
NCT07033559 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 240
Last updated 2026-01-28
Summary
The goal of this observational study is to learn if computer analysis of voice recordings can detect a type of exhaustion called "central fatigue" in adults with generalised myasthenia gravis.
The main questions it aims to answer are:
1. Can advanced voice analysis accurately tell when participants are experiencing deep exhaustion based on how they speak?
2. How easy and acceptable is voice-based fatigue monitoring for people with myasthenia gravis?
Participants will:
1. Record themselves reading short passages and answering questions out loud twice daily (morning and evening), twice a week, for 4 weeks.
2. Answer brief questionnaires about their energy levels, mood, and myasthenia gravis symptoms during each session.
3. Use their own devices (computer, tablet, or smartphone) to complete all study activities online from home.
Conditions
- Myasthenia Gravis Generalised
Sponsors & Collaborators
-
UCB Pharma
collaborator INDUSTRY -
Thymia Limited
lead INDUSTRY
Principal Investigators
-
Alexandra L Georgescu, PhD · Thymia Limited
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-02-28
- Primary Completion
- 2026-06-30
- Completion
- 2026-12-31
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