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Dataset Information

Development and Feasibility Assessment of a Multimodal Digital Health Technology for Remote Monitoring of Symptoms in Myasthenia Gravis.


ABSTRACT:

Introduction

Myasthenia gravis (MG) is a chronic autoimmune neuromuscular disease. Patients with MG are typically evaluated by neuromuscular experts through in-person neurologic examinations. These assessments are time-consuming, require significant disease expertise, and capture only a snapshot of disease.

Methods

Given this need, we developed a multimodal digital health technology (DHT) called BioDigit MG, for monitoring MG symptoms and objectively measuring disease severity. BioDigit MG includes tablet-guided speech and video-based assessments, electronic patient-reported outcomes relevant to MG, and a wearable sensor to measure physical activity and posture during activities of daily living.

Results

We assessed the feasibility and acceptability of BioDigit MG by c

SUBMITTER: Mishra RK 

PROVIDER: S-EPMC12661141 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature