G-STRIDE spots more older people at risk of falls than the TUG test

SESCS found that, in one study, the G-STRIDE gait sensor identified more older people at risk of falling than the Timed Up and Go test and about as many as a gait-speed test.

  • Not rated an organization

    The gain over the Timed Up and Go test comes from one research study that classified past fallers, with no measure of falls prevented.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Partly reported benefit.
Evidence

foundstudiedreportedclaimed

An independent assessment report supports the benefit.

Compared with

The Timed Up and Go test and a gait-speed test in the same people. Measured.

Without the system
test TUG, que tuvo una sensibilidad de 51% (IC95%: 39, 62)
With it
el dispositivo portátil G-STRIDE obtuvo una sensibilidad de 77% (IC95%: 55, 85)
The system’s part
The study tested G-STRIDE, the Timed Up and Go test and a gait-speed test in the same 157 people, which isolates the device's accuracy against tests in use. The device combines the sensor with a machine-learning algorithm, whose part the study does not separate.
Not yet checked
LimitsCosts and harmsLearns from dataLater outcome

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Benefit type
Improved Task Accuracy
System
G-STRIDE (shoe-mounted inertial sensor with a machine-learning gait algorithm)
Made by
Academic consortium of Universidad Rey Juan Carlos and collaborators
Used by
The Spanish validation study that SESCS used, with 157 people over 70
Where
Spain
Stage
Tested in a laboratory
Date
, when the source was published
Kind
Aggregate result
Broad benefit
Analyzing Data or Information, Estimating the Quantifiable Characteristics of Products, Events, or Information
Collections
Scrutiny and findings
Last revised
1 November 2026

Sources

  1. Assessment report, by authors with no tie to the system.

    Servicio de Evaluación del Servicio Canario de la Salud (SESCS). Sistemas de telemonitorización portátiles para la evaluación del riesgo de caídas y la detección de caídas en personas de 65 o más años. Informes de Evaluación de Tecnologías Sanitarias, Ministerio de Sanidad, 2026. Resumen ejecutivo (Resultados, Coste-efectividad y análisis económico).

    Los resultados sugieren que G-STRIDE mejora la detección del riesgo de caída respecto al test TUG, aunque su rendimiento es muy similar al test GS.

Details

AI system

Workflow

An inertial measurement unit on the foot recorded gait parameters while people walked without restrictions. A machine-learning algorithm classified fall risk from the gait parameters.

Follow-up

Conditions for replication

A clinician must interpret the result in a consultation, as with the conventional tests. Sensor and software costs must stay low, since the cost per extra correct case was lowest with large-scale purchase.

Entry details

Sector

Healthcare (fall prevention in older people).

Purpose

An academic consortium of Universidad Rey Juan Carlos and collaborators built G-STRIDE to analyze gait with a shoe-mounted inertial sensor and estimate the risk of falling in older people.

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Cite this record

Peter H. Vartanian. (2026). G-STRIDE spots more older people at risk of falls than the TUG test (AIBD-1031). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-1031.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

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