Title
Affordance-Based Surgical Design Methods Considering Biomechanical Artifacts
Date Issued
01 January 2020
Access level
open access
Resource Type
journal article
Author(s)
Araujo D.
Kohles S.S.
Kim S.G.
Alvarez Sanchez H.H.
Publisher(s)
Routledge
Abstract
Surgical design in personalized medicine is often based on native anatomy, which may not accurately reflect the interaction between native musculoskeletal tissues and biomechanical artifacts. To overcome this problem, researchers have developed alternative methods based on affordance-based design. The design process can be viewed in terms of action possibilities provided by the (biological) environment. Here, we use the affordance-based approach to address possibilities for action offered by biomechanical artifacts. In anterior crucial ligament (ACL) reconstruction, the design goal is to avoid ligament impingement while optimizing the placement of the tibial tunnel. Although in the current rationale for tibial tunnel placement roof impingement is minimized to avoid a negative affordance, we show that tibial tunnel placement can rather aim to constrain the target bounds with respect to a positive affordance. We describe the steps for identifying the measurable invariants and provide a mathematical framework for the surgery affordances within the knee.
Start page
1
End page
15
Language
English
OCDE Knowledge area
Ingeniería mecánica
Scopus EID
2-s2.0-85088287241
Source
Ecological Psychology
ISSN of the container
10407413
Sponsor(s)
Author WK extends thanks to Ms. Flávia Yázigi for her hard work with the radiography and a long recruitment process. WK also thanks to his mother-in-law, Ms. Sun Lee, for her continuous encouragement for this research. The experimental data used for validation were provided by the “Grand Challenge Competition to Predict In Vivo Knee Loads” as part of the Symbiosis project funded by the US National Institutes of Health via the NIH Roadmap for Medical Research (Grant # U54 GM072970). DA was partially funded by the Fundação para a Ciência e Tecnologia, under Grant UIDB/00447/2020 to CIPER–Centro Interdisciplinar para o Estudo da Performance Humana (unit 447). Author WK extends thanks to Ms. Fl?via Y?zigi for her hard work with the radiography and a long recruitment process. WK also thanks to his mother-in-law, Ms. Sun Lee, for her continuous encouragement for this research. The experimental data used for validation were provided by the ?Grand Challenge Competition to Predict In?Vivo Knee Loads? as part of the Symbiosis project funded by the US National Institutes of Health via the NIH Roadmap for Medical Research (Grant # U54 GM072970). DA was partially funded by the Funda??o para a Ci?ncia e Tecnologia, under Grant UIDB/00447/2020 to CIPER?Centro Interdisciplinar para o Estudo da Performance Humana (unit 447).
Sources of information: Directorio de Producción Científica Scopus