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Record W2119274146 · doi:10.1109/memea.2011.5966753

Oscillometric blood pressure pulse morphology

2011· article· en· W2119274146 on OpenAlex
M. Mafi, Miodrag Bolić, Voicu Z. Groza, Hilmi R. Dajani, Sreeraman Rajan

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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicNon-Invasive Vital Sign Monitoring
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBlood pressurePulse pressurePulse (music)SIGNAL (programming language)Biomedical engineeringMorphology (biology)Materials scienceCardiologyInternal medicineMedicineComputer scienceGeologyTelecommunications

Abstract

fetched live from OpenAlex

This paper presents a new analysis of oscillometric blood pressure signals using pulse morphology under different pressure points. As the pulse morphology contains potentially critical clinical information, quantitative signal metrics are used to characterize the blood pressure pulse using pulse morphology. Signals metrics at three different pressure points namely systolic, mean arterial and diastolic pressure points are obtained and are compared across three different age groups (<;30, 30-55, >;55). It is observed that the pulses change their characteristics at different pressure points and also with age. This preliminary analysis indicates the usefulness of pulse morphology of oscillometric blood pressure signals for diagnostic purposes through comparison of the proposed signal metrics over age and at different pressure points.

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 categoriesInsufficient payload (model declined to judge)
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 score0.313
Threshold uncertainty score1.000

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)0.0010.000

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 head0.022
GPT teacher head0.201
Teacher spread0.179 · 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

Quick stats

Citations8
Published2011
Admission routes1
Has abstractyes

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