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Record W1999251302 · doi:10.1115/imece2013-62327

Ergometers Can Now Biomechanically Replicate Straight-Line Floor Wheelchair Propulsion: Three Models Are Presented

2013· article· en· W1999251302 on OpenAlexaff
Zohreh Salimi, Martin Ferguson-Pell

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsWheelchairPropulsionAccelerationManual wheelchairSimulationComputer scienceTrunkBiomechanicsEngineeringAerospace engineeringPhysics

Abstract

fetched live from OpenAlex

Wheelchair ergometers facilitate wheelchair related studies as they allow controlled experiments to be performed inside the laboratory. However, the results obtained from these experiments are of limited value unless we use wheelchair ergometers that biomechanically represent real-world wheelchair propulsion. We could not find any wheelchair ergometers in the literature to date, that have been validated considering all of these important biomechanical criteria: Velocity and acceleration, force and moment, trunk swing, inertial effect, energy consumption and the resistive force against propulsion. In this paper we have considered wheelchair propulsion on an ergometer and have compared it to straight-line floor wheelchair propulsion. From equating these two situations, we have found the necessary conditions to meet the above criteria. Finally, we propose three models for a wheelchair ergometer that satisfies these conditions and will be able to biomechanically represent straight-line floor wheelchair propulsion.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.079
GPT teacher head0.334
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2013
Admission routes1
Has abstractyes

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