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Record W2905749489 · doi:10.1109/biocas.2018.8584707

Battery-Free. Sticker-Like, Device for Health Monitoring, Operated by Optical Power Transfer

2018· article· en· W2905749489 on OpenAlexaff
Nattakam Wuthibenjaphonchai, Makito Haruta, Toshihiko Noda, Kiyotaka Sasagawa, Takashi Tokuda, Mohamad Sawan, Sandro Carrara, Jun Ohta

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrochemical sensors and biosensors
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsAmperometryBattery (electricity)CapacitorMaterials scienceDiodeMaximum power transfer theoremPower (physics)Photovoltaic systemOptoelectronicsElectrical engineeringLight-emitting diodeVoltageShort circuitBlock (permutation group theory)Computer scienceElectrodeEngineeringElectrochemistryPhysics

Abstract

fetched live from OpenAlex

This work presents the concept of a battery-free, sticker-like, device for a non-invasive health-monitoring sensor. The device consists of two functional blocks: an optical power-transfer block and an amperometric measurement block. The former accumulates power from a series-connected photovoltaic cell in a capacitor and intermittently supplies the power to the amperometric measurement circuit. This circuit is driven by powering pulses and displays the amperometric current as the durations of the light pulses from a light-emitting diode. The function of the circuit was successfully demonstrated through simulations, in which the equivalent circuit of an electrochemical glucose sensor was used as an example. The simulation results showed that the proposed device would work as expected for a variety of glucose concentrations at an oxidation voltage of 0.8 V.

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)0.000
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.248
Teacher spread0.238 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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