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Home-Based Monitor for Gait and Activity Analysis
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Home-Based Monitor for Gait and Activity Analysis.

Charlotte Lilien1, Erwan Gasnier2, Teresa Gidaro2

  • 1Institut I-Motion, Institut de Myologie; c.lilien@institut-myologie.org.

Journal of Visualized Experiments : Jove
|August 27, 2019
PubMed
Summary
This summary is machine-generated.

A new wearable magneto-inertial sensor (WMIS) enables home-based monitoring of neuromuscular disorder patients. This device collects digital biomarkers for objective, continuous assessment of gait and activity outside clinical settings.

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Area of Science:

  • Biomedical Engineering
  • Neurology
  • Digital Health

Background:

  • Current neuromuscular disorder clinical trials rely on subjective, point-in-time assessments by evaluators.
  • These traditional methods are influenced by patient variability and environmental factors, limiting objective data collection.
  • There is a need for continuous, objective monitoring of patient mobility and activity.

Purpose of the Study:

  • To introduce a wearable magneto-inertial sensor (WMIS) system for home-based monitoring of neuromuscular disorder patients.
  • To assess the WMIS's capability in collecting digital biomarkers for gait and activity.
  • To provide a more objective and continuous assessment tool compared to traditional clinical evaluations.

Main Methods:

  • Development of a WMIS comprising two lightweight sensors and a docking station.
  • Sensors equipped with tri-axial accelerometer, gyroscope, magnetometer, and barometer for comprehensive movement data.
  • Data analysis using proprietary algorithms to derive movement parameters and digital biomarkers.

Main Results:

  • The WMIS system successfully records detailed movement data, including linear acceleration, angular velocity, magnetic field, and barometric altitude.
  • Proprietary algorithms compute representative parameters of movement type and intensity.
  • The system generates digital biomarkers such as total distance walked and descriptive gait variables reflecting peak performance.

Conclusions:

  • The WMIS offers a feasible solution for objective, home-based monitoring of neuromuscular disorder patients.
  • This technology enables the collection of continuous digital biomarkers, enhancing the assessment of gait and activity.
  • WMIS has the potential to improve clinical trial outcomes and patient management by providing richer, more reliable data.