Modular Lower Limb 3D-Printed Orthoprosthesis for Toddlers With Fibular Hemimelia

Toddlers with congenital limb deficiencies, such as fibular hemimelia, face major barriers to independent mobility during a critical windowof motor development. Despite the need for early intervention, existing orthoprosthetic solutions are often inaccessible and poorly suited to the anatomical and functional needs of children aged 12–36 months. This study presents a novel, user-centered approach to a modular pediatric lower limb orthoprosthesis dubbed +Limb developed in close collaboration with caregivers, physicians, and therapists. Using additive manufacturing, successive prototypes were rapidly produced and tested in a clinical setting. The final device met key requirements for modularity, light weight, postural support, and adjustability. Functional evaluations demonstrated significant improvements, including correction of a 4.5 cm leg length discrepancy, reduction of pelvic tilt from 15° to 0°, and initiation of unassisted gait with controlled knee flexion up to 45°. To study how the body and muscles responded, different sensors were used, including pressure sensors (FSRs), muscle activity sensors (EMG), and a pressure plate for foot contact analysis. This case study demonstrates the feasibility of a low-cost, customizable orthoprosthesis for toddlers with fibular hemimelia and emphasizes the advantages of combining additive manufacturing and sensor-based feedback to support early-stage rehabilitation in pediatric populations.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3604278
Citations
1
Primary Topic
Bone fractures and treatments
Type
article
Field-Weighted Citation Impact
1.35

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article

Modular Lower Limb 3D-Printed Orthoprosthesis for Toddlers With Fibular Hemimelia

Cláudia Quaresma, Hugo Silva, Lilli Anders, Paula Agulheiro
1 citations
IEEE Access
Bone fractures and treatments
1.35
article

Modular Lower Limb 3D-Printed Orthoprosthesis for Toddlers With Fibular Hemimelia

Cláudia Quaresma, Hugo Silva, Lilli Anders, Paula Agulheiro
article en
1 citations

Abstract

Toddlers with congenital limb deficiencies, such as fibular hemimelia, face major barriers to independent mobility during a critical windowof motor development. Despite the need for early intervention, existing orthoprosthetic solutions are often inaccessible and poorly suited to the anatomical and functional needs of children aged 12–36 months. This study presents a novel, user-centered approach to a modular pediatric lower limb orthoprosthesis dubbed +Limb developed in close collaboration with caregivers, physicians, and therapists. Using additive manufacturing, successive prototypes were rapidly produced and tested in a clinical setting. The final device met key requirements for modularity, light weight, postural support, and adjustability. Functional evaluations demonstrated significant improvements, including correction of a 4.5 cm leg length discrepancy, reduction of pelvic tilt from 15° to 0°, and initiation of unassisted gait with controlled knee flexion up to 45°. To study how the body and muscles responded, different sensors were used, including pressure sensors (FSRs), muscle activity sensors (EMG), and a pressure plate for foot contact analysis. This case study demonstrates the feasibility of a low-cost, customizable orthoprosthesis for toddlers with fibular hemimelia and emphasizes the advantages of combining additive manufacturing and sensor-based feedback to support early-stage rehabilitation in pediatric populations.

IEEE AccessVol. 13
Universidade Politécnica de Lisboa (PT), Iscte – Instituto Universitário de Lisboa (PT), Hospital de Dona Estefânia (PT), Institute for Biotechnology and Bioengineering (PT), Universidade Nova de Lisboa (PT)
Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 16%
Bone fractures and treatments
1.35
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Modular Lower Limb 3D-Printed Orthoprosthesis for Toddlers With Fibular Hemimelia — Cláudia Quaresma, Hugo Silva, et al. · IEEE Access (2025) | TGRS Research Map | TGRS