Using Smartphone Recordings to Measure Key Symptoms in Adults With Myasthenia Gravis

What this Trial Is About

Researchers are evaluating the key symptoms of Myasthenia Gravis MG using smartphone recordings in both MG patients and people without MG. The study aims to measure symptoms like speech difficulties, arm fatigue, and drooping eyelids, and to explore how machine learning algorithms can analyze these symptoms. This observational study involves a single visit and focuses on comparing symptom measurements between MG patients and non-MG participants. Participants will visit Leiden University Medical Center once, where baseline information including demographics, medical history, and questionnaires will be collected. MG patients may be asked to temporarily stop pyridostigmine medication for 12 hours before the visit as part of standard care. Symptom assessments follow a set order, ending with the most tiring task involving arm fatigue. Both digital audio and video recordings will be collected using smartphones to analyze symptoms through automated methods. During the visit, researchers will perform clinical and questionnaire assessments, and record digital data to evaluate symptoms. They will measure how well digital features distinguish MG patients from controls, and how these features relate to disease severity and daily impact. The study also assesses the accuracy of automated analysis compared to clinical evaluations. Participation involves a single 60-minute visit, with attention to data privacy and explicit consent for sharing identifiable recordings.

Capturing Key MG-symptoms Using Smartphone Recordings.