Variability Analysis of Therapeutic Movements using Wearable Inertial Sensors

Area of Science:

• Biomechanics
• Rehabilitation Engineering
• Wearable Technology

Background:

• Assessing the quality of therapeutic movements is crucial for patient recovery and rehabilitation.
• Wearable inertial sensors offer a promising, objective method for quantifying movement patterns.
• Understanding movement variability in healthy individuals provides a baseline for comparison with patient populations.

Purpose of the Study:

• To analyze the variability of upper limb therapeutic movements in healthy adults compared to therapists.
• To establish a method for quantifying movement quality using wearable sensors for future application in patient groups with motion impairments.
• To differentiate between intra-group and inter-group movement variations.

Main Methods:

• Five healthy young adults performed upper limb movements with two wearable inertial sensors (upper arm and forearm).
• Reference movement data were collected from three therapists.
• Sensor data were processed using time-domain features and signal similarity distances, followed by classification and variability analyses.

Main Results:

• Flexion/extension movements exhibited high intra-group variability.
• Meaningful information regarding changes in velocity and rotational motions was extracted for individuals.
• Classification analysis indicated distinguishable movement patterns between subjects and groups.

Conclusions:

• Wearable inertial sensors can effectively capture and analyze upper limb movement variability.
• The developed methodology provides a quantitative measure for assessing movement quality, applicable to patient recovery monitoring.
• Further research can extend this approach to evaluate individuals with various motion impairments.