A FEASIBILITY STUDY TO INVESTIGATE IF THERE IS A CORRELATION BETWEEN SOFT TISSUE DEFORMATION AND ACOUSTIC EMISSION
Bibliographic record
Abstract
BACKGROUND: Background: Acoustic emission from structures subject to external loads can be monitored to detect internal damage before destruction occurs. It is hypothesised that deformation of soft tissue will emit acoustic signals which may aid early detection of deep tissue injury, particularly in the lower limb amputee population. No previous studies have applied this method to biological soft tissue. OBJECTIVE: To determine if skeletal muscle tissue produced measurable acoustic emission during dynamic tensile loading with the aim to establish a reliable biomarker for lower limb prosthetic socket fit quantification and prosthetic health. STUDY DESIGN: Experimental study design. METHODOLOGY: In this research article, Sus scrofa domesticus (pork) muscle and Gallus gallus domesticus (chicken) muscle specimens (10mm width x 45mm height x 4mm depth) were submerged into saline baths while an Instron testing machine applied displacement controlled tensile loads. Time stamped, load, displacement and acoustic signal (hydrophone) data was collected. FINDINGS: The pork muscle was tested to failure being subject to tensile load. Prior to failure, no peaks were found in the amplitude or frequency of the acoustic signal to indicate that either tissue deformation or failure was occurring. Data gathered during chicken muscle testing was inconclusive. CONCLUSIONS: Results displayed that tensile testing of pork intercostal muscle produced tissue deformation and failure with no detectable change in the amplitude or frequency of the background sound during tensile loading. The other specimens failed before reaching the same levels of tensile load. Further studies are required in order to address the numerous limitations of this study. LAYMAN’S ABSTRACT Humans are made of biological material, some are hard such as the skeleton and some are soft as in muscles. When the soft tissue are under a too high stress condition, such as in diabetic patients, we talk about deep tissue injury. It has been proven that deep tissue injury negatively impacts the affected persons’ quality of life, through a reduction in mobility and ability levels. Deep tissue injury is additionally very costly to health care systems worldwide. Unfortunately, those with lower limb dysvascularity (in particular, amputees with limb loss secondary to dysvascularity and/or neuropathy) are at heightened risk of further damage from deep tissue injury. Therefore, this study ultimately aims to be used as a basis in order to determine if, at some stage, it would be possible to detect tissue that was ‘at risk’ of developing deep tissue injury. ARTICLE PDF LINK: https://jps.library.utoronto.ca/index.php/cpoj/article/view/30354/23004 How to cite: Buis A, Guarato F, Law J, Ralston Z, Courtney A. A feasibility study to investigate if there is a correlation between soft tissue deformation and acoustic emission. Canadian Prosthetics & Orthotics Journal, Volume 1, Issue 1, No 5, 2018. DOI: https://doi.org/10.33137/cpoj.v1i1.30354
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".