Wavelet analysis based on time-frequency information discriminate chronic ankle instability

Area of Science:

• Biomechanics
• Sports Medicine
• Rehabilitation

Background:

• Ankle sprains are common lower extremity injuries.
• Real-time human motion tracking offers accurate, portable kinematic and kinetic measurements.
• Differentiating chronic ankle instability from stable ankles is crucial for injury prevention.

Purpose of the Study:

• To discriminate between individuals with chronic ankle instability and those with stable ankles.
• To utilize inertial tracking technology and force plates for this discrimination.
• To identify objective measures of dynamic balance impairment.

Main Methods:

• Twelve healthy subjects and 13 subjects with chronic ankle instability performed the Star Excursion Balance Test.
• Inertial tracking technology and force plates were employed for data collection.
• Wavelet decomposition was used for time-frequency analysis of motion and force signals.

Main Results:

• Dynamic balance impairments were identified in individuals with chronic ankle instability.
• These impairments were detected through specific parameters in acceleration, orientation, and force signals using wavelet analysis.
• Impairments were evident despite similar Star Excursion Balance Test reach distances between groups.

Conclusions:

• Specific wavelet-based parameters can detect dynamic balance deficits associated with chronic ankle instability.
• These findings highlight the potential of advanced motion analysis for identifying individuals at risk of ankle sprains.
• This method may reveal subtle impairments missed by traditional assessments like reach distance alone.