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Quantifying Gait Asymmetry in Stroke Patients: A Statistical Parametric Mapping (SPM) Approach
1Department of Physical Education, Pusan National University, Busan, South Korea.
Summary
Statistical parametric mapping (SPM) analysis of gait in post-stroke patients revealed significant hip and knee joint asymmetry. Addressing this asymmetry is crucial for improving mobility and functional gait outcomes in rehabilitation.
Area of Science:
- Biomechanics
- Neurorehabilitation
- Medical Imaging
Background:
- Three-dimensional (3D) motion capture using the VICON Toolkit is vital for gait analysis.
- Statistical parametric mapping (SPM) is a neuroimaging technique for identifying region-specific effects.
- Analyzing post-stroke gait kinematics can inform rehabilitation strategies.
Purpose of the Study:
- To apply SPM for analyzing hip, knee, and ankle joint angles during gait in post-stroke patients.
- To quantify gait asymmetry in affected and unaffected limbs using 3D motion capture data.
Main Methods:
- Twenty post-stroke patients were analyzed using a 10-camera VICON motion capture system (250 Hz).
- Sagittal, frontal, and transverse plane joint angles were assessed via SPM.
- Data were normalized to the gait cycle, and paired t tests identified significant asymmetry (P<0.05).
Main Results:
- Significant sagittal plane asymmetry was found in hip and knee joint angles.
- Hip joint asymmetry occurred during stance (0-39%) and swing (40-100%) phases.
- Knee joint asymmetry was observed during late stance (98-100%) and swing (0-79%) phases.
Conclusions:
- Post-stroke gait rehabilitation must address hip and knee joint asymmetry.
- Improving hip and knee joint mobility is essential for enhanced functional gait.
- SPM offers a detailed analysis of gait asymmetry, surpassing traditional methods.
