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Record W2028718154 · doi:10.1117/12.628219

Spectroscopic detection of the blanch response at the heel of the foot: a possible diagnostic for stage I pressure ulcers

2005· article· en· W2028718154 on OpenAlexaff
Elicia Kohlenberg, Jeanne M. Zanca, David M. Brienza, M Levasseur, Michael G. Sowa

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsHeelMedicineBlood pressureStage (stratigraphy)PopulationMicrocirculationOxygenationBiomedical engineeringMaterials scienceInternal medicineAnatomyBiology

Abstract

fetched live from OpenAlex

Pressure ulcers (sores) can occur when there is constant pressure being applied to tissue for extended periods of time. Immobile people are particularly prone to this problem. Ideally, pressure damage is detected at an early stage, pressure relief is applied and the pressure ulcer is averted. One of the hallmarks of pressure damaged skin is an obliterated blanch response due to compromised microcirculation near the surface of the skin. Visible reflectance spectroscopy can noninvasively probe the blood circulation of the upper layers of skin by measuring the electronic transitions arising from hemoglobin, the primary oxygen carrying protein in blood. A spectroscopic test was developed on a mixed population of 30 subjects to determine if the blanch response could be detected in healthy skin with high sensitivity and specificity regardless of the pigmentation of the skin. Our results suggest that a spectroscopic based blanch response test can accurately detect the blanching of healthy tissue and has the potential to be developed into a screening test for early stage I pressure ulcers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.291
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2005
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicPressure Ulcer Prevention and ManagementFrench-language works237,207