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Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
Published on: March 4, 2018
Three-dimensional human gait pattern - reference data for normal men.
Bogdan Pietraszewski1, Sławomir Winiarski, Sebastian Jaroszczuk
1Department of Biomechanics, University School of Physical Education, 51-612 Wrocław, Poland. bogdan.pietraszewski@awf.wroc.pl
Acta of Bioengineering and Biomechanics
|November 13, 2012
Summary
This study analyzed adult gait patterns using the BTS Smart-E motion analysis system. Gait speed significantly impacts joint motion, with higher speeds generally increasing the range of motion in the hip and knee.
Area of Science:
- Biomechanics
- Human Movement Analysis
- Kinesiology
Background:
- Establishing normative gait patterns is crucial for motion analysis systems.
- Understanding kinematic variations across different gait speeds is essential for accurate biomechanical assessments.
- The BTS Smart-E system is utilized for detailed gait analysis.
Purpose of the Study:
- To establish a kinematic pattern of adult gait for the BTS Smart-E motion analysis system.
- To analyze gait patterns across three distinct speed levels: high, preferred, and low.
- To investigate the influence of gait speed on joint kinematics in adult males.
Main Methods:
- Gait analysis was performed on 17 adult males using the BTS Smart-E motion analysis system.
- Kinematic data were collected for three controlled walking speeds.
- Statistical analysis was employed to compare joint motion across different speeds and between limbs.
Main Results:
- No statistically significant differences were found between the right and left limbs' gait patterns.
- Significant differences in gait patterns were observed across high, preferred, and low walking speeds.
- Increased gait speed correlated with changes in the angular range of motion in the hip and knee joints' sagittal plane.
- Joint range of motion generally increased with higher walking speeds, except for the ankle joint.
Conclusions:
- Gait speed is a critical factor influencing adult kinematic gait patterns, particularly in the hip and knee joints.
- The BTS Smart-E system can effectively capture speed-dependent kinematic variations in gait.
- Further research may explore normative data across diverse populations and conditions.

