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Record W2145069646 · doi:10.1109/iembs.1997.758717

Programmable high-amplitude balanced stimulus current-source for implantable microstimulators

2002· article· en· W2145069646 on OpenAlexafffund
S. Bourret, Mohamad Sawan, Réjean Plamondon

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsCurrent sourceLinearityElectrical impedanceCurrent (fluid)Electrical engineeringOffset (computer science)Power consumptionOutput impedanceCurrent mirrorAmplitudeElectronic engineeringComputer sciencePhysicsEngineeringPower (physics)VoltageTransistorOptics

Abstract

fetched live from OpenAlex

In this paper, a 5 bit programmable current-source dedicated to implantable microstimulators is presented. Generating a maximum current of 4 mA through a 1 K/spl Omega/ load, it takes advantage of the BiCMOS 0.8 /spl mu/m technology which allows high current-level output-stage. It occupies a silicium area smaller than 0.026 mm/sup 2/. Simulation results showed good linearity and low power consumption. Its architecture allows the generation of bi-directional current pulses and features an almost null DC offset. Finally, the proposed current-source can be easily modified to output a smaller current range, enabling greater precision and giving the possibility to stimulate nerves with higher impedances.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.207
Threshold uncertainty score0.853

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.045
GPT teacher head0.277
Teacher spread0.232 · 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

Citations23
Published2002
Admission routes2
Has abstractyes

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