MétaCan
Menu
Back to cohort
Record W4245972237 · doi:10.32920/ryerson.14645487

Inductive power transmission through printed sprial coils for seizure application

2021· preprint· en· W4245972237 on OpenAlexaff
Amin Kalbasi

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsElectromagnetic coilSpiral (railway)CapacitanceMATLABMaterials sciencePower (physics)Coupling (piping)PhysicsElectrical engineeringAcousticsTopology (electrical circuits)Computer scienceEngineeringMechanical engineeringComposite material

Abstract

fetched live from OpenAlex

This thesis proposes a realistic model for transcutaneous inductive power link for seizure applications using PSCs (Printed Spiral Coils). The benefit of this model is smaller size implanted coil compared to its counterparts while maintaining high loaded system efficiency. The introduced Printed Spiral Coil (PSC) geometric parameters are achieved using MATLAB that searches for the highest efficiency of the inductive coil within the given constraints. The output from the MATLAB simulation is used to created optimum design in AMDSpro tool and is verified. The outer diameter of the implanted coil is introduced to be d₀₂ = 6mm while the simulated efficiency is calculated as η [subscript] sim = 46.67% operating at f [subscript] sim = 2.52MHz for the relative distance of D = 10mm filled with layers of modeled human skull (Outer Compact Layer, Spongiosum, and Inner Compact Layer). The coupling coefficient of the spiral was calculated to be k = 0.69. The implanted PSC is associated with load capacitance and resistance of R [subscript] L = 4.5Ω and C [subscript] L = 95nf.

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 categoriesMeta-epidemiology (narrow)
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 score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.015
GPT teacher head0.246
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.

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same topicWireless Power Transfer SystemsFrench-language works237,207