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Record W3139231091 · doi:10.33137/cpoj.v4i1.35213

USING A SWEATING RESIDUUM/SOCKET INTERFACE SIMULATOR FOR THE EVALUATION OF SWEAT MANAGEMENT LINERS IN LOWER LIMB PROSTHETICS

2021· article· en· W3139231091 on OpenAlexvenueaboutno aff
Michael McGrath, Katherine C. Davies, Ana Gallego, Piotr Laszczak, Jinghua Tang, Saeed Zahedi, David Moser

Bibliographic record

VenueCanadian Prosthetics & Orthotics Journal · 2021
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsnot available
Fundersnot available
KeywordsResiduumInterface (matter)SimulationComputer scienceHuman–computer interactionBiomedical engineeringEngineeringOperating systemGeology

Abstract

fetched live from OpenAlex

BACKGROUND: Lab-based simulators can help to reduce variability in prosthetics research. However, they have not yet been used to investigate the effects of sweating at the residuum-liner interface. This work sought to create and validate a simulator to replicate the mechanics of residual limb perspiration. The developed apparatus was used to assess the effects of perspiration and different liner designs. METHODOLOGY: By scanning a cast, an artificial residuum was manufactured using a 3D-printed, transtibial bone model encased in silicone, moulded with pores. The pores allowed water to emit from the residuum surface, simulating sweating. Dry and sweating cyclic tests were performed by applying compressive and tensile loading, while measuring the displacement of the residuum relative to the socket. Tests were conducted using standard and perforated liners. FINDINGS: Although maximum displacement varied between test setups, its variance was low (coefficient of variation <1%) and consistent between dry tests. For unperforated liners, sweating increased the standard deviation of maximum displacement approximately threefold (0.04mm v 0.12mm, p<0.001). However, with the perforated liner, sweating had little effect on standard deviation compared to dry tests (0.04mm v 0.04mm, p=0.497). CONCLUSIONS: The test apparatus was effective at simulating the effect of perspiration at the residual limb. Moisture at the skin-liner interface can lead to inconsistent mechanics. Perforated liners help to remove sweat from the skin-liner interface, thereby mitigating these effects. Layman’s Abstract Simulators can be used in prosthetics research to make experiments more repeatable. In this study, a test apparatus was created to replicate the mechanical effects of residual limb sweating. An artificial residual limb was made from silicone and a 3D printed, transtibial bone model. Small holes were made throughout the silicone to act like pores, allowing water to travel to the outside surface, like sweat. The limb was loaded to mimic walking and its movement within the socket was measured. For some tests, water was added internally to see the effect of sweat. Two types of liner were used and compared; a standard one and one with perforations. In terms of movement, the results were generally consistent between each cycle for the dry tests. For standard liners, the addition of sweating increased the variability of movement approximately threefold (0.04mm v 0.12mm, p<0.001). However, with the perforated liner, sweating had little effect on movement (0.04mm v 0.04mm, p=0.497). The test apparatus simulated the effect of residual limb sweating. The findings indicate that moisture on the skin can lead to inconsistent movement, but perforated liners help to remove this moisture, which helps improve consistency of performance. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/35213/27472 How To Cite: McGrath M, Davies K.C, Gallego A, Laszczak P, Tang J, Zahedi S, Moser D. Using a sweating residuum/socket interface simulator for the evaluation of sweat management liners in lower limb prosthetics. Canadian Prosthetics & Orthotics Journal. 2021;Volume 4, Issue 1, No.3. https://doi.org/10.33137/cpoj.v4i1.35213 Corresponding Author: Dr. Michael McGrath, PhDResearch Scientist–Clinical Evidence,Blatchford Group, Unit D Antura, Bond Close, Basingstoke, RG24 8PZ, United Kingdom.Email: mike.mcgrath@blatchford.co.ukORCID: https://orcid.org/0000-0003-0195-970X

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.050
GPT teacher head0.319
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2021
Admission routes2
Has abstractyes

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