Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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

Early Oxygenation Trajectory and Noninvasive Ventilation Failure in Non-Immunocompromised Children With Pediatric ARDS.

Pediatric pulmonology·2026

Same author

Quantitative Analysis of Axial Rigidity at Different Passive Movement Velocities in Parkinson's Disease: A Cross-Sectional Study.

Journal of clinical medicine·2026

Same author

Biophysical and functional evaluation of concentric electrodes for localised non-invasive FES.

Biomedical physics & engineering express·2026

Same author

Surface Electromyography Reveals Subject-Specific Alterations in Lumbar Flexion-Relaxation Following Prolonged Cycling in Pain-Free Road Cyclists.

Sensors (Basel, Switzerland)·2026

Same author

Burnout in health students and its relationship with demographic and academic characteristics: a survey-based study.

BMC medical education·2026

Same author

Step-Length Estimation in Asymmetric Gait Using a Single Lower-Back IMU Data and a Biomechanical Model Inspired by a Double Inverted Pendulum.

Bioengineering (Basel, Switzerland)·2026

Search research articles

Related Experiment Video

Updated: Aug 2, 2025

Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights

Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights

Published on: October 25, 2024

Instrumented Timed Up and Go Test (iTUG)-More Than Assessing Time to Predict Falls: A Systematic Review.

Paulina Ortega-Bastidas^1,2, Britam Gómez³, Pablo Aqueveque⁴

¹Health Sciences PhD Programme, International Doctoral School, Universidad Rey Juan Carlos, 28922 Madrid, Spain.

Sensors (Basel, Switzerland)

|April 13, 2023

Summary

This summary is machine-generated.

The instrumented Timed Up and Go (iTUG) test enhances fall risk prediction in older adults using technology. This review found inertial sensors and rule-based algorithms are common for analyzing iTUG data in various settings.

Keywords:

elderly instrumented timed up and go risk of falls

More Related Videos

Computerized Adaptive Testing System of Functional Assessment of Stroke

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

Community-based Adapted Tango Dancing for Individuals with Parkinson's Disease and Older Adults

Community-based Adapted Tango Dancing for Individuals with Parkinson's Disease and Older Adults

Published on: December 9, 2014

Related Experiment Videos

Last Updated: Aug 2, 2025

Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights

Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights

Published on: October 25, 2024

Computerized Adaptive Testing System of Functional Assessment of Stroke

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

Community-based Adapted Tango Dancing for Individuals with Parkinson's Disease and Older Adults

Community-based Adapted Tango Dancing for Individuals with Parkinson's Disease and Older Adults

Published on: December 9, 2014

Area of Science:

Gerontology
Biomedical Engineering
Rehabilitation Science

Background:

The Timed Up and Go (TUG) test is a standard clinical tool for assessing fall risk in older adults.
Limitations in TUG's predictive accuracy necessitate advanced methods.
The instrumented Timed Up and Go (iTUG) test integrates technology to enhance TUG's predictive capabilities.

Approach:

This systematic review analyzed 40 studies on technological approaches for iTUG segmentation and analysis in elderly populations.
A comprehensive search was performed across five major databases adhering to PRISMA guidelines.
The review focused on identifying technologies, participant groups, and segmentation methods used in iTUG research.

Key Points:

Inertial sensors were the predominant technology, utilized in 75% of the reviewed studies.
Healthy older adults (35%) and those with Parkinson's disease (32.5%) were the most frequently studied groups.
Automatic segmentation using rule-based algorithms was applied in 97.5% of the studies.

Conclusions:

The iTUG test presents a cost-effective and accessible method to improve TUG's predictive value for fall risk.
iTUG enables the identification of novel biomechanical variables beyond standard TUG measures.
The iTUG test is suitable for diverse settings, including clinical, community, and home environments.