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Record W2073262802 · doi:10.1109/ccece.2013.6567773

Correlation between seismocardiogram and systolic blood pressure

2013· article· en· W2073262802 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicNon-Invasive Vital Sign Monitoring
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsBlood pressurePulse pressureMedicineCardiologyCorrelationPressure measurementInternal medicinePulse (music)WaveformMathematicsPhysicsComputer scienceOpticsTelecommunications

Abstract

fetched live from OpenAlex

Modern health care system requires certain critically ill patients to monitor their blood pressure continuously through non-invasive techniques. The pulse transit time (PTT) and other parameter such as RS2 have been used previously for continuous BP monitoring. In this study, a system is designed using trial axis accelerometer as a sensor to collect seismocardiogram (SCG) data. The SCG waveforms have been used to find a relationship between Systolic Blood Pressure (SBP) and different axis of Seismocardiogram on 10 subjects aged 24+ years. The results reflect that the SBP is correlated with the starting point of the SCG wave in the x-axis to the mid-point of the z-axis. Their mean correlation and equations have been found which can state the systolic blood pressure of the subjects. The relative errors between the calculated SBP and the SBP measured from clinical equipment are up to 123 mmHg in normal range and 456 mmHg in high range. In summary, SCG can be used to determine the SBP as it has a moderate correlation.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.407

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 head0.007
GPT teacher head0.187
Teacher spread0.180 · 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

Citations20
Published2013
Admission routes1
Has abstractyes

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Same topicNon-Invasive Vital Sign MonitoringFrench-language works237,207