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Record W2887925216 · doi:10.11159/icbes18.152

Video-Based Pulse Arrival Time can track Dynamic Blood Pressure Changes

2018· article· en· W2887925216 on OpenAlexvenueno aff
Fatemeh Shirbani, Conner Blackmore, Christina Kazzi, Isabella Tan, Mark Butlin, Alberto Avolio

Bibliographic record

VenueProceedings of the World Congress on Electrical Engineering and Computer Systems and Science · 2018
Typearticle
Languageen
FieldEngineering
TopicNon-Invasive Vital Sign Monitoring
Canadian institutionsnot available
Fundersnot available
KeywordsArrival timeComputer scienceTrack (disk drive)Time of arrivalPulse (music)Real-time computingTelecommunicationsEngineeringWireless

Abstract

fetched live from OpenAlex

The standard method for non-invasive blood pressure (BP) measurement is the brachial cuff-based method. However, cuff-based BP methods are occlusive and intermittent. Estimating BP from pulse arrival time (PAT) by image-based photoplethysmography (iPPG) using a video from skin is of increasing interest due to the possibility of cuffless and contactless measurement and potential for BP measurement to be built into portable devices such as mobile phones. In recent years, the relationship between PAT extracted from iPPG (iPPG-PAT) and BP has been investigated during stable BP at rest or immediately following a dynamic change in BP (e.g. post-exercise). However, to date, this relationship during continuous BP changes as are encountered in daily life, detection of which is the main aim of such potential devices, has not been investigated. The objective of this study was to quantify the sensitivity of iPPG-PAT to dynamic shifts in BP to assess if iPPG-PAT can indeed track changes in BP.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.870
Threshold uncertainty score0.646

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 head0.004
GPT teacher head0.185
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

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 designBench or experimental
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
Published2018
Admission routes1
Has abstractyes

Explore more

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