A BIOFIDELIC MOCK RESIDUAL LIMB FOR PROSTHETIC SOCKET TESTING
Notice bibliographique
Résumé
BACKGROUND: Evaluating prosthetic socket fit and function relies on accurately simulating load transfer between the residual limb and the socket. This limb can be either real (of a study participant) or a mock residual limb that simulates in vivo properties. Mock limbs minimize reliance on resource-intensive clinical trials; however, most are static in size, limiting their use in testing clinical outcomes like socket adjustability. OBJECTIVE: To design and validate a biofidelic mock limb, capable of real-time, controllable volume adjustments of up to ±5% limb volume. METHODOLOGY: Water-filled bladders were embedded within a transtibial residual limb model made of a dual-durometer urethane composition, mimicking deep and soft tissue. An Arduino-controlled syringe system was used to actuate volume adjustments. The method was validated through repeatability tests at different rates of volume change, cycling through expansion, holding at maximum volume, and contraction. Volume change was quantified by measuring interfacial pressures between the limb and a static socket. FINDINGS: The limb was fabricated with readily available materials for less than CAD 400. Volume change rate had minimal effect on interfacial pressure throughout the testing cycle, and minimal hysteresis was found between expansion and contraction periods. Repeatability was high, with a coefficient of variation of normalized pressure remaining below 10.4% over three repeated tests. CONCLUSION: The proposed biofidelic limb was validated for its ability to mimic volume change in a transtibial residual limb. The design enables easy replication or customization to simulate different limb physiologies and anatomies. The limb allows for controllable bench-top testing during prototyping of adjustable sockets or other devices, thus bringing devices to clinical use sooner. Layman's Abstract For individuals with a lower-limb amputation, their prosthetic socket—the component that connects their residual limb to the prosthesis—needs to fit well to be comfortable and to function properly. However, the size of a residual limb can change throughout the day due to factors like activity and diet, which can affect the socket fit. Evaluating how prosthetic sockets adapt to residual limb volume changes is important, but doing so through clinical testing with human participants requires extensive resources and involves test conditions that are hard to control. A “mock” residual limb was introduced that simulated real-time, controllable limb volume changes, reducing the need for amputee participants in prosthetic socket testing. The mock limb used water-filled bladders within a soft urethane composition, and the bladder size was controlled by a motorized syringe system, allowing it to expand or contract by up to 5%. The limb’s ability to reliably repeat its volume changes was validated. This tool can help researchers quickly test adjustable prosthetic sockets and other wearable devices in a lab setting, thereby accelerating device development and reducing dependence on clinical testing. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/45759/34271 How To Cite: Phillips C, Nagpal A, Azhari F. A biofidelic mock residual limb for prosthetic socket testing. Canadian Prosthetics & Orthotics Journal. 2025; Volume 8, Issue 2, No. 1. DOI:10.33137/cpoj.v8i1.45759 Corresponding Author: Fae Azhari, PhDAffiliation: Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada.E-Mail: fae.azhari@utoronto.caORCID ID: https://orcid.org/0000-0003-2559-8566
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 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 ».