JMIR Publications

ABSTRACT

Background:

Ankle-Foot Orthoses (AFOs) are vital in gait rehabilitation for stroke patients. However, many conventional AFO designs may not offer the required precision for optimized patient outcomes. With the advent of 3D scanning and printing technology, there exists potential for more individualized AFO solutions, aiming to enhance the rehabilitative process.

Objective:

This non-randomized trial seeks to introduce and validate a novel system for AFO design tailored to stroke patients. By leveraging the capabilities of 3D scanning and bespoke software solutions, the aim is to produce orthoses that might surpass conventional designs in terms of biomechanical effectiveness and patient satisfaction.

Methods:

A distinctive 3D scanner, complemented by specialized software, will be developed to accurately capture the biomechanical data of leg movements during gait in stroke patients. The acquired data will subsequently guide the creation of patient specific AFO designs. These personalized orthoses will be provided to participants, and their efficacy will be compared with traditional AFO models. The qualitative dimensions of this experience will be evaluated using the QUEST assessment tool. Feedback from healthcare professionals and the participants will be considered throughout the trial to ensure a rounded understanding of the system's implications.

Results:

Spatial-temporal parameters will be statistically compared using paired t-tests to determine significant differences between walking with the personalized orthosis, the existing orthosis, and barefoot conditions. Significant differences will be identified based on p-values, with p < 0.05 indicating statistical significance. The Statistical Parametric Mapping (SPM) method will be applied to graphically compare kinematic and kinetic data across the entire gait cycle. QUEST responses will undergo statistical analysis to evaluate patient satisfaction, with scores ranging from 1 (not satisfied) to 5 (very satisfied). Satisfaction scores will be presented as mean values ± standard deviations. Significant variations in satisfaction levels between the personalized and existing orthosis will be assessed using a Wilcoxon signed-rank test. The anticipation is that the AFOs crafted through this innovative system will either match or outperform existing orthoses in use, with higher patient satisfaction rates.

Conclusions:

Embracing the synergy of technology and biomechanics may hold the key to revolutionizing orthotic design, with the potential to set new standards in patient-centered orthotic solutions. However, as with all innovations, a balanced approach, considering both the technological possibilities and individual patient needs, will be paramount to achieve optimal outcomes.