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Record W3134643558 · doi:10.1117/12.2578502

Hemodynamics of the sternocleidomastoid measured with frequency domain diffuse optical spectroscopy towards non-invasive monitoring during mechanical ventilation

2021· article· en· W3134643558 on OpenAlexaff
Raeef Istfan, Carlos A. Gómez, Matthew B. Applegate, Darren Roblyer, W. Darlene Reid

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicOptical Imaging and Spectroscopy Techniques
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMechanical ventilationVentilation (architecture)Sternocleidomastoid muscleMedicineHemodynamicsBiomedical engineeringCardiologyAnesthesiaSurgeryMechanical engineeringEngineering

Abstract

fetched live from OpenAlex

Mechanical ventilation is used to assist spontaneous breathing in critically ill patients such as those suffering from severe cases of COVID-19. There is a need for new technologies to monitor inspiratory muscle pathophysiology during mechanical ventilation to preserve muscle function and improve weaning success. Here we explore the feasibility of using our custom frequency domain diffuse optical spectroscopy platform to extract the oxygenation of the sternocleidomastoid (SCM), an accessory muscle of inspiration. We will present Monte Carlo simulation results of the neck region where the SCM is located as well as initial results from a normal volunteer study.

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 score0.002

Distilled classifier scores by category (both heads)

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

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 head0.010
GPT teacher head0.261
Teacher spread0.251 · 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
Published2021
Admission routes1
Has abstractyes

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