MétaCan
Menu
Back to cohort
Record W1917308977 · doi:10.1089/soro.2014.0003

Highly Sensitive Flexible Printed Accelerometer System for Monitoring Vital Signs

2014· article· en· W1917308977 on OpenAlexafffund
Yuanfeng Zhang, Woo Soo Kim

Bibliographic record

VenueSoft Robotics · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAccelerometerBandageVital signsComputer scienceRemote patient monitoringBiomedical engineeringRespiratory rateAcousticsHeart rateEngineeringMedicinePhysicsSurgeryBlood pressure

Abstract

fetched live from OpenAlex

This article describes an extracorporeal sensing system composed of a lightweight, highly sensitive printed accelerometer, which is integrated with the readout circuit. The bandage-type accelerometer system is attached to various positions of human body conformally to obtain vital signals such as pulses and heart rate, as well as motion detection. Moreover, when the sensor is attached to the chest near the heart, broad respiratory rate can also be measured. Both human pulse and motion are essential indicators of health conditions. This bandage-type attachable sensor system allows continuous detection of various biosignals as long-term medical diagnostics for patients' convenience.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.024
GPT teacher head0.239
Teacher spread0.216 · 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 source (direct Gemma or distilled Codex), 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

Citations24
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueSoft RoboticsSame topicAdvanced Sensor and Energy Harvesting MaterialsFrench-language works237,207