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.
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Accuracy of AI Model for Binary Central Fatigue Classification as Assessed by Voice Biomarker Analysis
Timeframe: Across 16 assessment sessions over 4 weeks from enrolment