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Multiple Sclerosis l: Introduction

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Updated: May 5, 2026

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool

Published on: June 30, 2014

Sensors in Multiple Sclerosis.

Angeliki G Filippatou¹, Ellen M Mowry²

¹Division of Neuroimmunology and Neurological Infections, Department of Neurology, Johns Hopkins University School of Medicine, 600 N. Wolfe St, Baltimore, MD, 21287, USA. afilipp5@jhmi.edu.

Current Neurology and Neuroscience Reports

|October 29, 2025

Summary

This summary is machine-generated.

Biosensors and digital tools offer advanced monitoring for multiple sclerosis (MS) patients. These technologies capture subtle functional changes, enabling personalized care and timely clinical decisions for better MS management.

Keywords:

Biosensors Digital biomarkers Digital tools Multiple sclerosis Wearables

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Last Updated: May 5, 2026

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Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

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Published on: February 19, 2021

Area of Science:

Neurology
Biomedical Engineering
Digital Health

Background:

Multiple Sclerosis (MS) monitoring traditionally relies on methods that may miss subtle functional declines.
There is a growing need for precise, continuous assessment of functional status in MS.
Digital tools and biosensors present an opportunity to enhance MS care.

Purpose of the Study:

To review current and emerging applications of biosensors for monitoring function in individuals with MS.
To explore how biosensors and digital tools can support data-driven clinical decisions in MS.
To assess the potential of these technologies in transforming MS care.

Main Methods:

Review of current and emerging biosensor applications in MS.
Analysis of biosensor capabilities in tracking diverse physiological and kinetic metrics.
Examination of digital health technologies for MS patient monitoring.

Main Results:

Biosensors effectively track physical activity, circadian rhythmicity, gait, balance, fine motor function, and bladder control in MS.
Novel technologies reliably detect subtle functional abnormalities often missed by conventional assessments.
Digital health technologies show promise for precise, continuous monitoring of MS progression.

Conclusions:

Biosensors and digital tools can significantly enhance the monitoring of individuals with MS.
These technologies facilitate personalized management by enabling tailored interventions based on unique disease trajectories.
Further validation and integration studies are crucial for the clinical adoption of these tools in MS care and trials.