Wireless inertial measurement unit (IMU)-based posturography.

Area of Science:

• Biomechanics
• Human Movement Analysis
• Wearable Technology

Background:

• Classical posturography uses motion tracking but cannot directly measure body spatial position.
• Advancements in motion tracking enhance classical posturography techniques.
• Technical limitations hinder direct body spatial position tracking in traditional methods.

Purpose of the Study:

• To develop and clinically validate a wireless inertial measurement unit (IMU)-based mobile system for tracking body position changes.
• Evaluate the system's ability to capture dynamic postural sway.
• Assess the system's utility in clinical settings.

Main Methods:

• A novel system utilizing an IMU with calculus transformation for position data derived from filtered acceleration (Kalman and Butterworth).
• Prospective non-randomized clinical study with 15 healthy subjects.
• Agreement assessment between the IMU system and classical posturography using confidence ellipse areas during a modified sensory interaction balance test.

Main Results:

• High overall agreement between the IMU system and classical posturography, indicated by an intra-class correlation index of 0.93 (95% CI: 0.89–0.96).
• Strong Pearson's correlation coefficients (0.604 to 0.882) across four different balance conditions.
• The system demonstrated reliable tracking of sway variances.

Conclusions:

• The developed wireless IMU-based posturography system is valid for tracking sway variances in healthy subjects under standard clinical conditions.
• Further research is recommended to validate the system's performance in patient populations and diverse postural conditions.
• The system offers a promising mobile solution for objective balance assessment.