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Record W7077043758 · doi:10.23977/jeis.2025.100204

Respiratory Rate Real-time Monitoring System with FBGs

2025· article· en· W7077043758 on OpenAlexvenueno aff

Bibliographic record

VenueJournal of Electronics and Information Science · 2025
Typearticle
Languageen
FieldEngineering
TopicNon-Invasive Vital Sign Monitoring
Canadian institutionsnot available
FundersNatural Science Foundation of Jilin Province
KeywordsRespiratory monitoringOptical fiberRespiratory rateRespiratory systemNoise (video)Fiber optic sensor

Abstract

fetched live from OpenAlex

In order to monitor respiratory rate in real-time and have good portability, a respiratory rate monitoring system based on fiber optic sensing was designed. According to the testing requirements, the overall composition structure of the system was designed, which is divided into fiber optic sensing module and data processing module. The design basis for the system composition was provided, and the fiber optic sensor and processing module were designed based on respiratory characteristics. The fiber optic sensor is encapsulated in a flexible silicone sheet and then fixed onto a T-shirt. The selection of fixed positions is based on the level of respiratory sensitivity. A power module design for portable structures was provided, and a conversion module from sensor data to respiratory rate was built. Ultimately, the monitoring system will be integrated into a portable device. The experiment collected actual human BCG signals with noise interference and completed the inversion calculation of respiratory rate, with an accuracy better than ± 1bpm. It verifies the feasibility of this system.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.291

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.004
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 head0.005
GPT teacher head0.218
Teacher spread0.213 · 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
Published2025
Admission routes1
Has abstractyes

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