Construction of A Multimodal Digital Assessment Model for Myasthenia Gravis

Summary

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

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.

Conditions2

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