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A new method for evaluating ankle foot orthosis characteristics: BRUCE
D J J Bregman1, A Rozumalski, D Koops
1MOVE Institute for Human Movement Research, VU University Medical Center, Amsterdam, The Netherlands. d.bregman@vumc.nl
Gait & Posture
|June 13, 2009
Summary
A new device, BRUCE, reliably measures ankle and MTP joint stiffness and neutral angles in ankle-foot orthoses (AFOs). This quantification of AFO mechanical characteristics aids in understanding their function in pathological gait.
Area of Science:
- Biomechanics
- Orthotics and Prosthetics
- Gait Analysis
Background:
- Mechanical characteristics of ankle-foot orthoses (AFOs), including stiffness and neutral angles, are crucial for pathological gait but rarely quantified.
- Understanding these properties is essential for optimizing AFO function and patient outcomes.
Purpose of the Study:
- To introduce a novel device, BRUCE, designed to quantify the mechanical characteristics of AFOs.
- To assess the reliability of BRUCE in measuring ankle and metatarsal-phalangeal (MTP) joint stiffness and neutral angles.
Main Methods:
- BRUCE utilizes a replicated human leg model to manually measure AFO joint configuration and forces.
- Linear fitting is employed to determine neutral angles and stiffnesses around the ankle and MTP joints.
- Reliability was evaluated through repeated measurements of four AFOs, assessing inter-session, intra-session, and inter-observer variability.
Main Results:
- Ankle and MTP stiffness measurements demonstrated very high reliability (ICC=0.98-1.00).
- Ankle and MTP neutral angle measurements showed reasonable reliability (ICC=0.79-0.92), with inter-observer differences being a key factor.
- Excellent reliability for neutral angles was achieved with a single tester (ICC=0.99-0.99).
Conclusions:
- The BRUCE device provides reliable quantification of AFO mechanical properties.
- Objective data on AFO characteristics can enhance understanding of their role in correcting pathological gait.
- Improved AFO prescription based on objective data is expected to maximize functional benefits for patients.

