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Record W1986633688 · doi:10.1109/iembs.2011.6090688

Preferred patterns of diastolic timed vibrations for pre-hospitalization treatment of acute coronary ischemia

2011· article· en· W1986633688 on OpenAlex
Behrad Kajbafzadeh, M. Marzencki, Nezam Alavi, Farzad Khosrow-Khavar, Kouhyar Tavakolian, Carlo Menon, Bożena Kamińska

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
FieldMedicine
TopicECG Monitoring and Analysis
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsVibrator (electronic)VibrationDiastoleCardiologyIschemiaInternal medicineMedicineReduction (mathematics)Computer scienceAcousticsPhysicsBlood pressureMathematics

Abstract

fetched live from OpenAlex

This paper presents and evaluates preferred patterns of vibrations and active breaking techniques for the Diastolic Timed Vibrator (DTV). DTV uses low frequency mechanical vibrations applied to the chest to help in clot dissolution in pre-hospitalization treatment of acute coronary ischemia. In this work, we argue that random and ramp type vibration patterns increase the performance of the DTV method. Furthermore, we present results for various methods of vibration stopping aiming at reduction of vibration overspill into the systole of heart cycle of the patient.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.229

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 head0.037
GPT teacher head0.303
Teacher spread0.267 · 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

Citations9
Published2011
Admission routes1
Has abstractyes

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