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Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
Published on: March 4, 2018
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Development of a Gait Analysis Application for Assessing Upper and Lower Limb Movements to Detect Pathological Gait
Atsuhito Taishaku1, Shigeki Yamada1,2, Chifumi Iseki3,4
1Department of Neurosurgery, Nagoya City University Graduate School of Medical Science, Nagoya 467-8601, Japan.
Sensors (Basel, Switzerland)
|October 16, 2024
Summary
Pathological gait in Hakim's disease (HD) and Parkinson's disease (PD) involves reduced limb swings. Limb movement patterns differ significantly across HD, PD, and cervical myelopathy (CM) patients compared to healthy individuals.
Area of Science:
- Biomechanics
- Neurology
- Gait Analysis
Background:
- Pathological gait is a key symptom in Hakim's disease (HD), Parkinson's disease (PD), and cervical myelopathy (CM).
- Subjective evaluations of gait abnormalities in these conditions lack quantitative precision.
Purpose of the Study:
- To objectively quantify upper and lower limb movement characteristics during pathological gait.
- To compare gait patterns among patients with HD, PD, CM, and healthy controls.
Main Methods:
- Analysis of 1491 circular walking tests (1m diameter) using a 3D Pose Tracker.
- Data collected from 122 HD, 12 PD, 93 CM patients, and 200 healthy volunteers.
- Calculation of 2D joint angle ranges (sagittal plane) and limb shifts (axial plane).
Main Results:
- Reduced hip and knee range of motion in HD and PD compared to CM and healthy controls.
- Distinct patterns of shoulder and elbow range of motion observed across groups.
- Increased outward leg shift in HD and PD.
- Strong correlation found between hip/elbow joint ranges and upper/lower limb movements.
Conclusions:
- Quantitative analysis reveals distinct gait characteristics in HD, PD, and CM.
- HD and PD patients show significantly reduced limb swing amplitudes.
- Limb movements are interconnected, with specific correlations identified between upper and lower body motion.

