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Record W2505699671 · doi:10.1088/2057-1976/1/4/045005

A semi-dynamic heart model for UWB microwave transmission simulations and hardware evaluation

2015· article· en· W2505699671 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBiomedical Physics & Engineering Express · 2015
Typearticle
Languageen
FieldEngineering
TopicMicrowave Imaging and Scattering Analysis
Canadian institutionsUniversity of Calgary
FundersITI FoundationAlberta Innovates - Technology Futures
KeywordsMicrowaveTransmission (telecommunications)Computer scienceComputer hardwareElectronic engineeringEngineeringTelecommunications

Abstract

fetched live from OpenAlex

In this paper, we present a simplified semi-dynamic heart model for investigation of microwave transmission heart monitoring systems between 1.5 and 4 GHz in both simulation and measurement. We aim to validate that our proposed heart model is able to represent the heart structure at microwave frequencies by comparing our model to an accurate numerical heart model (anHM) from the ITIS foundation virtual population. Our simple numerical heart model (snHM) (simulation) and physical heart model (pHM) (measurement) are evaluated in a simplified human chest model using an UWB biomedical sensor. In simulation, the transmission parameter shows agreement with the time domain peak of −94.5 dB for the snHM and −96.4 dB in the anHM. The anHM and pHM transmission signal characteristics were then compared showing good agreement. Our heart model is able to represent the heart between 1.5 and 4.0 GHz and represents a step toward a real time dynamic heart model for hardware evaluation.

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.

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: Methods · Consensus signal: none
Teacher disagreement score0.841
Threshold uncertainty score0.875

Codex and Gemma teacher scores by category

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

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 head0.025
GPT teacher head0.267
Teacher spread0.241 · 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