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Substrate-integrated waveguide (SIW) based antenna in remote respiratory sensing

2015· article· en· W1944451478 on OpenAlexaff
Bushra Muharram, M. Okoniewski

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Body Area Networks
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsRespiratory monitoringMouthpieceRemote patient monitoringContinuous monitoringMedicineComputer scienceBiomedical engineeringRespiratory systemEngineeringDentistry

Abstract

fetched live from OpenAlex

In a hospital environment, continuous monitoring of respiratory activity in a patient moved from intensive care unit may prevent incidence of central sleep apnea (CSA). CSA is difficult to predict and can be life-threatening. Some of the existing respiratory monitoring methods require direct contact with the patient; such as placing electrodes on the skin or wearing a monitoring belt around the chest. Other monitoring devices are bulky and invasive such as the spirometer which involves the patient breathing through a mouthpiece; and is thus, inconvenient. Additionally, the aforementioned monitoring methods/ devices are not suitable for critically ill patients that may not tolerate a mouthpiece, or burn-injured patients that cannot tolerate wearing a monitoring belt. Consequently, there is a need to develop remote/non-contact devices to continuously monitor respiratory activity in a reliable and non-invasive way. Optical techniques have been utilized for remote respiratory monitoring with reported high sensitivity; however, they cannot penetrate clothing. Therefore, microwave techniques have been explored due to their inherent advantage of penetrating clothes.

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)0.000
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 score0.133
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.030
GPT teacher head0.236
Teacher spread0.205 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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