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Record W2034219663 · doi:10.1109/iros.2014.6943052

Estimating contact force for steerable ablation catheters based on shape analysis

2014· article· en· W2034219663 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSoft Robotics and Applications
Canadian institutionsWestern University
FundersBiosense WebsterSt. Jude Medical
KeywordsAblationContact forceMaterials scienceComputer scienceEngineeringPhysicsAerospace engineeringClassical mechanics

Abstract

fetched live from OpenAlex

Cardiac ablation using flexible catheters is a common interventional procedure for treating cardiac arrhythmia. This procedure is performed under image guidance and the contact force between the ablation tip and the heart tissue is one of the factors that greatly impacts the efficacy of the ablation procedure. This paper investigates the feasibility of estimating the force that the catheter tip exerts on the heart tissue by monitoring the changes in the shape of the deflectable distal shaft of the catheter (henceforth called the “deflectable shaft” or the “shaft” of the catheter). It is shown that variations in the shaft curvature provide information about how much force the catheter tip is exerting at its point of contact. Consequently, an index is defined for determining the range of contact forces based on the shaft curvature. Experimental results show that the defined index can correctly detect the range of applied contact forces in more than 80% of the cases. This study proves that the flexibility of the deflectable shaft provides a means of estimating contact forces exerted by the catheter tip.

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: Methods · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score0.249

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 head0.011
GPT teacher head0.233
Teacher spread0.222 · 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

Quick stats

Citations27
Published2014
Admission routes1
Has abstractyes

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