Wearable inertial sensors for human movement analysis

Area of Science:

• Biomechanics
• Clinical Engineering
• Rehabilitation Technology

Background:

• Clinical human movement analysis traditionally relies on complex and expensive systems.
• Wearable inertial sensors present a more accessible alternative for objective patient assessment.
• Advancements in sensor technology have increased their suitability for clinical applications.

Purpose of the Study:

• To review the primary applications of wearable inertial sensors in clinical human movement analysis.
• To provide a methodological and applicative overview of sensor-based assessments.
• To guide clinicians on integrating inertial sensors into their practice.

Main Methods:

• Systematic review of literature on wearable inertial sensor applications.
• Analysis of six key areas: gait, stabilometry, clinical tests, upper body mobility, daily activity, and tremor.
• Evaluation of methodological approaches and computational complexity.
• Assessment of practical applications for clinical use.

Main Results:

• Identified six common application areas for wearable inertial sensors in clinical settings.
• Detailed the methodological underpinnings and practical utility of each application.
• Highlighted the increasing reliability and feasibility of sensor-based movement analysis.
• Noted the cost-effectiveness and ease of use compared to traditional systems.

Conclusions:

• Wearable inertial sensors are a viable and evolving tool for clinical human movement analysis.
• These sensors offer practical benefits for clinicians, enhancing patient assessment.
• The technology is mature enough for routine integration into clinical workflows.