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Related Experiment Video

Updated: Feb 21, 2026

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

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Biosensing in multiple sclerosis.

Andrew Yousef1, Soren Jonzzon1, Leena Suleiman1

  • 1a Department of Neurology , University of California , San Francisco , CA , USA.

Expert Review of Medical Devices
|October 5, 2017
PubMed
Summary
This summary is machine-generated.

Wearable biosensors offer sensitive, reliable outcome metrics for multiple sclerosis (MS) clinical trials. These devices enhance physical exams and enable remote patient monitoring, improving data quality for longitudinal studies.

Keywords:
Accelerometerbiosensoreye-trackinggyroscopemultiple sclerosisphysical activityreview

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Area of Science:

  • Biomedical Engineering
  • Neurology
  • Digital Health

Background:

  • Multiple sclerosis (MS) requires sensitive outcome metrics beyond standard neurological exams.
  • Wearable biosensors can improve reliability and enable remote patient evaluations.
  • Current research explores various sensors for MS assessment.

Purpose of the Study:

  • To review the literature on wearable biosensor applications in multiple sclerosis research.
  • To identify the potential of wearable biosensors as outcome metrics in MS clinical trials.
  • To discuss key features for generalizability and data interpretation.

Main Methods:

  • Structured literature review of studies using wearable biosensors in multiple sclerosis.
  • Inclusion of data from accelerometers, gyroscopes, eye-trackers, grip sensors, and multi-sensor systems.
  • Analysis of sensor data for functional assessment and reliability.

Main Results:

  • Wearable sensors show potential for sensitive outcome metrics in MS.
  • Simplicity of device application and data delivery are crucial for generalizability.
  • Optimal sampling rates are essential to avoid noisy or insensitive data.

Conclusions:

  • Wearable biosensors can significantly enhance MS clinical trials and patient monitoring.
  • Establishing meaningful metrics from wearable devices is vital for longitudinal studies.
  • Further research is needed to optimize sensor technology and data analysis for MS.