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Related Experiment Video

Updated: Apr 30, 2026

A Modified Lean and Release Technique to Emphasize Response Inhibition and Action Selection in Reactive Balance

A Modified Lean and Release Technique to Emphasize Response Inhibition and Action Selection in Reactive Balance

Published on: March 19, 2020

Quantifying Reactive Dynamic Balance in Older Adults: An Exploratory Lag-Plot-Based Approach toward Fall Risk

Lea Feld^1,2,3, Michel Hackbarth⁴, Laura Himmelmann¹

¹Health Services Research, Carl von Ossietzky University Oldenburg, Oldenburg, Germany.

|April 28, 2026

Summary

This summary is machine-generated.

New reactive balance measures using trunk acceleration predict falls in older adults. Higher short-term variability during perturbations indicates lower fall risk, promising for wearable fall prevention technologies.

Keywords:

Balance Falls Older adults Perturbation Wearable

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Last Updated: Apr 30, 2026

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Published on: October 6, 2016

Area of Science:

Biomechanics
Gerontology
Rehabilitation Engineering

Background:

Reactive dynamic balance is crucial for fall prevention in older adults.
Current measures like Margin of Stability (MoS) have limitations for practical fall risk assessment.
A need exists for accurate and reliable measures of reactive dynamic balance.

Purpose of the Study:

To propose and evaluate novel perturbation-based reactive balance measures using acceleration data.
To assess the predictive value of these exploratory measures for future falls in older adults.
To explore the utility of lag plot analysis of trunk acceleration for balance assessment.

Main Methods:

Sixty-four older adults (>60 years) with recent falls participated.
A treadmill-based perturbation protocol assessed reactive balance responses.
Exploratory parameters derived from lag plot analysis of trunk acceleration (ML and AP) were calculated.
Stepwise logistic regressions evaluated predictive value for prospective falls.

Main Results:

The Short Physical Performance Battery (SPPB) showed predictive relevance (OR=0.65).
Exploratory perturbation-based parameters, particularly LMS_SD2^norm (OR=0.39), significantly predicted falls.
Higher short-term trunk acceleration variability during right-leg acceleration perturbations correlated with lower fall risk.
Proportion of Excursion (POE) also showed predictive value (OR=1.13).

Conclusions:

Proposed exploratory perturbation-based acceleration parameters, especially LMS_SD2^norm, effectively quantify reactive dynamic balance relevant to fall risk.
These novel measures show promise for integration into wearable technologies for real-world fall risk assessment.
This approach offers a potential advancement in monitoring and preventing falls in older adults.