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Record W2137533444

Vital signs monitoring using a new flexible polymer integrated PPG sensor

2013· article· en· W2137533444 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

VenueComputing in Cardiology Conference · 2013
Typearticle
Languageen
FieldEngineering
TopicNon-Invasive Vital Sign Monitoring
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPhotoplethysmogramVital signsComputer scienceSIGNAL (programming language)Continuous monitoringPower consumptionRemote patient monitoringReal-time computingForeheadWirelessBiomedical engineeringArtificial intelligencePower (physics)MedicineEngineeringTelecommunicationsSurgery
DOInot available

Abstract

fetched live from OpenAlex

In this paper, we assessed feasibility of using Photoplethysmography (PPG) signal from flexible biosensor as an alternative solution to ECG for monitoring of cardiovascular and pulmonary performance. The potential advantage of this methodology is reduction in power consumption and improvement of complexity of body worn wireless multisensory platform for human physical activity and vital sign monitoring Hence, we propose an alternative mechanically flexible device for monitoring, Photoplethysmography (PPG) and computationally inexpensive algorithm for extraction of cardiovascular and pulmonary performance form the recorded PPG signal. The respiration rate was obtained from finger and forehead of ten healthy subjects and compared to reference methods using Bland and Altman methodology.

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 categoriesMeta-epidemiology (narrow)
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 score0.231
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.258
Teacher spread0.215 · 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