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Updated: Mar 5, 2026

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

Quantitative method for gait pattern detection based on fiber Bragg grating sensors.

Lei Ding¹, Xinglin Tong¹, Lie Yu²

¹Wuhan University of Technology, National Engineering Laboratory for Fiber Optic Sensing Technology, Hongshan District, Wuhan, China.

Journal of Biomedical Optics

|March 30, 2017

Summary

This summary is machine-generated.

This study introduces fiber Bragg grating (FBG) sensors to analyze human walking patterns by measuring wavelength shifts. This novel method reliably distinguishes temporal gait patterns, offering an alternative to conventional electronic sensors.

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Last Updated: Mar 5, 2026

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

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Published on: March 4, 2018

Paw-Print Analysis of Contrast-Enhanced Recordings PrAnCER: A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits

Paw-Print Analysis of Contrast-Enhanced Recordings PrAnCER: A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits

Published on: August 12, 2019

Area of Science:

Biomedical Engineering
Sensor Technology
Biomechanics

Background:

Conventional gait analysis relies on electronic sensors measuring physical quantities like strain and force.
Distinguishing temporal gait patterns is crucial for understanding human locomotion and detecting abnormalities.

Purpose of the Study:

To present a novel method for gait pattern analysis using fiber Bragg grating (FBG) sensors.
To evaluate the reliability of FBG sensors for distinguishing temporal gait patterns in human walking.

Main Methods:

Utilizing the backreflected peak wavelength shift of FBG sensors to characterize motion.
Comparing FBG sensor data against a gold standard force-sensitive resistor (FSR) platform for validation.

Main Results:

FBG sensors demonstrated sensitivity to external strain, causing shifts in backreflected peak wavelength.
The FBG sensor platform reliably distinguished different gait patterns based on wavelength variations.
High reliability was observed when comparing FBG sensor results to the FSR reference platform.

Conclusions:

FBG sensors offer a reliable and effective platform for gait pattern detection.
This method provides a viable alternative to conventional electronic sensing techniques in biomechanics.
The wavelength shift characteristics of FBG sensors accurately describe human walking motion.