METHODOLOGY TO INVESTIGATE EFFECT OF PROSTHETIC INTERFACE DESIGN ON RESIDUAL LIMB SOFT TISSUE DEFORMATION
Notice bibliographique
Résumé
BACKGROUND: Residual limb discomfort and injury is a common experience for people living with lower limb amputation. Frequently, inadequate load distribution between the prosthetic device and the residual limb is the root cause of this issue. To advance our understanding of prosthetic interface fit, tools are needed to evaluate the mechanical interaction at the prosthetic interface, allowing interface designs to be evaluated and optimised. OBJECTIVES: Present a methodology report designed to facilitate comprehension of the mechanical interaction between the prosthetic interface and the residual limb. As a pilot study, this methodology is used to compare a hands-on and hands-off interface for a single transtibial prosthesis user using secondary Magnetic Resonance Imaging (MRI) data. METHODOLOGY: MRI data of the residual limb while wearing a prosthetic interface is segmented into a hard tissue and a skin surface model. These models are exported as stereolithography (STL) files. Two methods are used to analyse the interface designs. Firstly, CloudCompare software is used to compute the nearest vertex on the skin surface for every vertex on the compiled internal bony surface for both interface types. Secondly, CloudCompare software is used to compare registered skin surfaces of the residual limb while wearing the hands-on and hands-off interfaces. FINDINGS: The maximum and minimum nearest distances between the internal bony surface and skin surface were similar between interface types. However, the distribution of nearest distances was different. When comparing the skin surface while wearing both interfaces, where the fit is more compressive can be visualized. For the dataset used in this study, the classic features of a hands-on Patella Tendon Bearing interface and hands-off pressure cast interface could be identified. CONCLUSION: The methodology presented in this report may give researchers a further tool to better understand how interface designs affect the soft tissues of the residual limb. Layman's Abstract If a person loses all or part of their leg because of injury or disease, they may use a replacement limb to help them walk again. The replacement limb is attached to their remaining leg using a rigid shell and flexible liner. Sometimes, the skin, muscles, and other tissues of their remaining leg are damaged while wearing the replacement limb. Often, this is because the replacement limb fits poorly to their remaining leg. In order to design replacement limbs that do not cause injury, a better understanding of replacement limb fit is required. In this study, a method to understand how replacement limbs deform remaining limb skin, muscles, and other tissues, is presented. 3D medical images are taken of a person’s remaining leg while they wear two different types of replacement limbs. These images are processed into 3D models and then analysed to investigate deformation. Firstly, deformation of the remaining leg, caused by the replacement limb, is calculated based on the distance between the bone surface and skin surface of the remaining leg. Secondly, the shape of the outer surface of the remaining leg while wearing the different replacement limbs is compared. When this method was used to compare the remaining leg of a person while wearing two different types of replacement limb, using previously acquired medical 3D images, differences in the shape of the remaining limb were found. This method may be useful to help design better replacement limbs that do not cause injury in the future. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/42196/32357 How To Cite: Arnstein T, Buis A. Methodology to investigate effect of prosthetic interface design on residual limb soft tissue deformation. Canadian Prosthetics & Orthotics Journal. 2023; Volume 6, Issue 1, No.7. https://doi.org/10.33137/cpoj.v6i1.42196 Corresponding Author: Arjan Buis, PhD Department of Biomedical Engineering, Faculty of Engineering, University of Strathclyde, Glasgow, Scotland.E-Mail: arjan.buis@strath.ac.ukORCID ID: https://orcid.org/0000-0003-3947-293X
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».