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Related Concept Videos

Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
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Related Experiment Video

Updated: Dec 6, 2025

Lower Limb Biomechanical Analysis of Healthy Participants
06:36

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Dynamic leg length measurement is a valid method for detecting anatomic leg length discrepancy.

Sam Khamis

    Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
    |October 5, 2020
    PubMed
    Summary

    Dynamic leg length (DLL) measurement shows promise in identifying anatomical leg length discrepancies (LLD). This functional assessment can detect LLD by analyzing gait cycle changes, offering a new approach to this common clinical challenge.

    Keywords:
    Gait analysisdynamic leg lengthfunctionalleg length discrepancysymmetry

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    Area of Science:

    • Biomechanics
    • Orthopedics
    • Gait Analysis

    Background:

    • Leg length discrepancy (LLD) is clinically significant, potentially causing pathological conditions and gait deviations.
    • Accurate measurement of LLD remains a challenge due to limitations in reliability and validity of current methods.

    Purpose of the Study:

    • To evaluate the effectiveness of dynamic leg length (DLL) measurement in detecting anatomical LLD.
    • To assess the correlation between functional leg length changes and anatomical discrepancies.

    Main Methods:

    • Gait analysis using a motion analysis system to measure DLL.
    • Comparison of average DLLs between lower limb sides at 51 points during the gait cycle.
    • Correlation of DLL differences during maximal stance and minimal swing phases with anatomical LLD via Pearson correlation.

    Main Results:

    • No significant side-to-side differences in DLLs were observed throughout the entire gait cycle.
    • Significant side-to-side differences in DLLs were identified specifically during the maximal stance and minimal swing phases.

    Conclusions:

    • Dynamic leg length (DLL) measurement can effectively detect anatomical leg length differences.
    • DLL assessment is valuable for identifying functional leg length discrepancies during specific gait phases.