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Published on: November 17, 2015
A pin-array method for capturing tissue deformation under defined pressure distributions and its application to
Michael Prince1, Laurence Pj Kenney2, Dave Howard3
1Centre for Health Sciences Research, University of Salford, PO33 Brian Blatchford Building, Frederick Road Campus, M6 6PU, United Kingdom.
A novel pin-array tool aids prosthetic socket pad design by mapping tissue displacement under pressure. This method helps create better-fitting upper limb prosthetics for lower- and middle-income countries.
Area of Science:
- Biomedical Engineering
- Prosthetics and Orthotics
- Biomechanics
Background:
- Developing countries require affordable and effective upper limb prosthetics.
- Current prosthetic socket design often lacks patient-specific interface optimization.
- Open-frame trans-radial socket designs offer potential for LMIC deployment.
Purpose of the Study:
- To introduce a mechanical tool for designing prosthetic socket pad shapes.
- To investigate the relationship between pressure distribution, tissue displacement, and interface loading.
- To assess the tool's utility in optimizing prosthetic fit for lower- and middle-income countries (LMICs).
Main Methods:
- A pin-array mechanical tool was developed to apply controlled pressure distributions to tissue.
- Tissue displacement was captured by fixing the pin positions after pressure application.
- Three studies were conducted on a single subject to validate the tool's functionality and findings.
Main Results:
- Surface stiffness showed an inverse relationship with array size.
- Duplicate pad shapes generated similar loads, but results were sensitive to muscle activation.
- Different forearm areas exhibited varying tissue displacements under identical pressure distributions.
Conclusions:
- The pin-array tool shows promise for prosthetic pad design, particularly for LMIC applications.
- The approach can inform the development of more practical prosthetic devices and other skin-interfacing technologies.
- Further development could enable clinical applications and data generation for finite element modeling and sensor assessment.
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