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Record W2540689761 · doi:10.1109/iembs.1996.656906

A new technique to monitor the electrode and lead failures in implantable microstimulators and sensors

2002· article· en· W2540689761 on OpenAlexaff
K. Arabi, Bożena Kamińska

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsElectrodeElectrical impedanceMaterials scienceLead (geology)SIGNAL (programming language)Biomedical engineeringReliability (semiconductor)Contact resistanceOscillation (cell signaling)Electronic engineeringOptoelectronicsElectrical engineeringComputer scienceEngineeringPhysics

Abstract

fetched live from OpenAlex

The electrodes and wire lead failures are the main reasons of implantable system malfunction. The impedance change and fibrosis of the living tissue which is in contact with the electrode are also important parameters to monitor. Measuring the resistance of leads, electrode-tissue contact and the interelectrode tissue can be used to test the functionality of implanted electrodes and to deduce the state of the interelectrode tissue. This paper describes the feasibility of using an oscillator, the frequency of which is controlled by the above mentioned resistance, to test the electrode functionally as well as the state of the living tissue. The oscillation frequency is a digital signal which can be easily evaluated by the implant or the external controller. It is shown that this approach results in a very low-cost and practical solution. The oscillator has been designed using CMOS 1.2 /spl mu/m technology parameters. This technique can be implemented in any implantable system to increase its reliability.

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 score0.005
Threshold uncertainty score0.303

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 head0.018
GPT teacher head0.242
Teacher spread0.223 · 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

Citations2
Published2002
Admission routes1
Has abstractyes

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