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Record W2962135098 · doi:10.1109/tmech.2019.2928786

A Novel Methodology for Comprehensive Modeling of the Kinetic Behavior of Steerable Catheters

2019· article· en· W2962135098 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE/ASME Transactions on Mechatronics · 2019
Typearticle
Languageen
FieldEngineering
TopicSoft Robotics and Applications
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreUniversity of Saskatchewan
FundersChina Scholarship CouncilNational Natural Science Foundation of China
KeywordsFlexibility (engineering)CatheterNonlinear systemComputer scienceDisplacement (psychology)SimulationControl theory (sociology)Control engineeringMathematicsEngineeringArtificial intelligenceSurgeryPhysicsControl (management)Medicine

Abstract

fetched live from OpenAlex

This paper presents a novel methodology for building a kinetic model for steerable catheters by capturing the nonlinearity of the steerable catheter, the flexibility of the pathway, and the contact and friction between the pathway and the moving catheter. The planar catheter system was used to illustrate the methodology. An experiment was conducted to validate the model along with the friction model. The experimental result and model-predicted result have a good agreement in both displacement and force of the distal tip of the catheter along with the input force. The experiment also shows that the LuGre friction model is most accurate. The methodology is thus applicable to modeling specific catheter-pathway systems. The kinetic model of the steerable catheter is useful to 1) design and for evaluation of new steerable catheters and 2) planning of catheter-based operations. Furthermore, the methodology has a generalized implication to other systems such as colonoscopy systems.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.727
Threshold uncertainty score0.437

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 head0.075
GPT teacher head0.283
Teacher spread0.208 · 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