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Related Experiment Video

Updated: Dec 29, 2025

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
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Adaptive predictive systems applied to gait analysis: A systematic review.

Rafael Caldas1, Tariq Fadel1, Fernando Buarque2

  • 1Institute of General Mechanics - RWTH Aachen University, Aachen, Germany.

Gait & Posture
|February 1, 2020
PubMed
Summary

Accurate gait analysis is crucial for diagnosing disorders. While adaptive predictive systems show promise, more research is needed to apply them to rehabilitation duration and prognosis.

Keywords:
Adaptive algorithmsArtificial intelligenceGait analysisInertial sensors

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Area of Science:

  • Biomechanics
  • Rehabilitation Medicine
  • Artificial Intelligence

Background:

  • Gait patterns are highly susceptible to various disorders, necessitating accurate analysis methods.
  • Facilitating gait assessment is significant, provided outcomes are not compromised.

Purpose of the Study:

  • Identify standards for adaptive predictive systems in gait analysis.
  • Evaluate the potential of these systems to guide physiotherapy session determination for gait recovery.

Main Methods:

  • Systematic review of scientific databases from 1968 to April 2019.
  • Analysis of 24 selected papers based on data acquisition, processing, and adaptive approaches.
  • Quantitative examination of adaptive methods used in gait analysis.

Main Results:

  • Optoelectronic systems and ground reaction force (GRF) were common for data acquisition.
  • Artificial neural networks (ANN) were the most frequently utilized AI paradigm.
  • Only one study incorporated predictive methods for therapeutic applications.

Conclusions:

  • Significant progress exists in predictive gait assessment, but clinical application for rehabilitation prognosis is limited.
  • Future research should prioritize developing predictive methods for therapeutics and prognosis, extending beyond mere gait feature analysis.