Construction of A Multimodal Digital Assessment Model for Myasthenia Gravis
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.
⁃ 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