Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Investigating compensatory adjustments induced by rhythmic auditory stimulation for changes in temporal gait symmetry in lower-limb prosthetic users.

PloS one·2026
Same author

Game-based and gamification-enhanced telerehabilitation for physical therapy in people with multiple sclerosis: a scoping review.

Biomedical engineering online·2026
Same author

Wearable inertial sensors for paediatric gait assessment: A systematic review.

Gait & posture·2026
Same author

Correction: PACT: A practice-driven predictive algorithm for customized transradial prosthetic socket design.

PloS one·2026
Same author

Preliminary development and validation of a textile-based pressure-sensing system for lower-limb prosthetic sockets.

Biomedical engineering online·2026
Same author

Smartphone photogrammetry for prosthetics and orthotics: accuracy and reliability across upper-limb, lower-limb, and AFO casts.

Biomedical engineering online·2026

Related Experiment Video

Updated: Aug 19, 2025

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.3K

Rules-Based Real-Time Gait Event Detection Algorithm for Lower-Limb Prosthesis Users during Level-Ground and Ramp

Aliaa Gouda1,2, Jan Andrysek1,2

  • 1Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, Canada.

Sensors (Basel, Switzerland)
|November 26, 2022
PubMed
Summary

A new real-time gait event detection algorithm offers high accuracy and low error for both able-bodied individuals and prosthesis users across various walking conditions. This advancement is crucial for remote gait analysis and intelligent assistive devices.

Keywords:
gait analysisgait event detectionramp walkingreal-time analysissignal processingwearable technology

More Related Videos

Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds
05:52

Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds

Published on: August 25, 2020

4.6K
Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
08:24

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

10.3K

Related Experiment Videos

Last Updated: Aug 19, 2025

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.3K
Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds
05:52

Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds

Published on: August 25, 2020

4.6K
Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
08:24

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

10.3K

Area of Science:

  • Biomechanics
  • Biomedical Engineering
  • Wearable Technology

Background:

  • Real-time gait event detection (GED) is vital for advanced assistive devices and remote health monitoring.
  • Existing GED algorithms often struggle with accuracy and latency in real-world clinical scenarios.

Purpose of the Study:

  • To develop and validate a low-latency, high-accuracy, rules-based real-time gait event detection algorithm.
  • To assess the algorithm's performance across different walking states and diverse participant groups.

Main Methods:

  • Algorithm evaluation using inertial sensor data from able-bodied (AB) and lower-limb prosthesis user (LLPU) participants.
  • Comparison of algorithm performance against a gold-standard motion capture system.
  • Testing across level-ground walking (LGW), ramp ascent (RA), and ramp descent (RD) conditions.

Main Results:

  • High overall sensitivity achieved: 98.87% (AB), 97.05% (LLPU intact), 93.51% (LLPU prosthetic).
  • Low temporal error: 10ms (0, 20ms) for AB and LLPU across walking states.
  • Minimal gait cycle error: < 1% for AB and LLPU across walking states.

Conclusions:

  • The developed algorithm provides near real-time gait event detection with high sensitivity and low temporal error.
  • The algorithm demonstrates robust performance in both typical and clinical populations across varied terrains.
  • This technology holds significant potential for improving gait assessments and intelligent prosthetic/exoskeleton control.