Gait Analysis

Gait analysis is the systematic assessment of walking patterns to measure how the body produces and controls movement, making it valuable for identifying functional abnormalities. It combines observations and quantitative measurements such as step length, cadence, joint motion, ground reaction forces, and muscle activity, often using motion-capture systems, force plates, and electromyography. In medicine, clinicians use gait analysis to evaluate neurological, musculoskeletal, and orthopedic disorders, guide diagnosis and treatment planning, and monitor recovery after injury or surgery. By linking movement patterns to underlying biomechanics, it supports individualized rehabilitation and provides objective outcomes for clinical research.

Gait Analysis - Related Videos

Research

JoVE Journal - Behavior
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Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

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Cited by 41 •

2018

In this study, a clinician-friendly three-dimensional gait analysis method, which was designed to be performed in the rehabilitation clinic, is presented. The method consists of a simplified measurement method and intuitive figures to facilitate clinicians' understanding of the results.

Research

JoVE Journal - Neuroscience

Postural Organization of Gait Initiation for Biomechanical Analysis Using Force Platform Recordings

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Cited by 3 •

2022

This paper describes the material and method developed to investigate the postural organization of gait initiation. The method is based on force platform recordings and on the direct principle of mechanics to compute center of gravity and center of pressure kinematics.

Assessing Gait by Footprint Analysis: A Method to Test Motor Coordination in Mice

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2023

In this video, we describe the footprint testing procedure and related analysis to assess gait and motor coordination in mice.

Home-Based Monitor for Gait and Activity Analysis

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Cited by 23 •

2019

This innovative device uses magneto-inertial sensors to permit gait and activity analysis in uncontrolled environments. Currently in the qualification process as an outcome measure in the European Medical Agency, one of the applications will be to serve as a clinical endpoint in clinical trials in neuromuscular diseases.

A Low-Cost Markerless DeepLabCut-Based Workflow for Spontaneous Gait and Locomotion Analysis in Freely Moving Mice

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2026

We present a low-cost, markerless workflow using DeepLabCut to quantify spontaneous gait and locomotion in freely moving mice. This protocol integrates single-camera video acquisition, markerless tracking of anatomical landmarks, and extraction of spatiotemporal locomotor parameters, providing a non-invasive and accessible framework for motor behavior analysis without specialized equipment.

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