This research is a single-center, exploratory, observational study to be carried out in the outpatient or inpatient ward of the Neurology Department at Huashan Hospital, affiliated to Fudan University. The aim is to develop a digital assessment model for Myasthenia Gravis by gathering multimodal digital phenotypic data from MG patients. This includes physiological signals, facial videos, eye movements, speech, limb movements, various scales, and quality of life metrics.
Eligibility
Sex
ALL
Min age
18 Years
Max age
—
Healthy volunteers
Accepted
Inclusion Criteria:
For Patients with MG
* Patients have a confirmed diagnosis of myasthenia gravis and be over 18 years old.
* Patients have the clinical classification of Myasthenia Gravis Foundation of America (MGFA) within I-IV, or be asymptomatic after treatment.
* Patients must sign the informed consent form and the privacy confidentiality agreement.
For Healthy Participants
* Age group matched with MG participants
Exclusion Criteria:
For Patients with MG
* Patients are in the crisis stage of myasthenia gravis (MGFA class V) and unable to cooperate with scoring.
* Patients are with severe cardiopulmonary diseases and unable to cooperate with the scoring.
* Patients with any psychiatric disorder or cognitive dysfunction that, in the investigator's judgment, may interfere with their participation in the study.
* Patients with any other unspecified unstable medical condition.
Primary outcome measure(s)
Descriptive Analysis and Comparison of Digital Phenotypic Data across Subgroups — At baseline (single study visit) Quantitative descriptive analysis of multimodal digital phenotypic data (motor performance, ocular metrics, and speech-derived features) to compare subgroup-specific patterns among patients with myasthenia gravis. Metrics will include summary statistics (mean, standard deviation, distribution profiles) for each modality, with subgroup comparisons performed to assess variability.
Correlation Between Digital Evaluation Model and Quantitative Myasthenia Gravis (QMG) Scale — At baseline (single study visit) This outcome measure will assess the convergent validity of the digital evaluation model by calculating the correlation coefficient (Pearson's or Spearman's) between the model-derived composite score and the Quantitative Myasthenia Gravis (QMG) clinical scale score in patients with myasthenia gravis.
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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