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Record W2028055964 · doi:10.2340/16501977-0562

Comparative evaluation of electric wheelchair manoeuvrability

2010· article· en· W2028055964 on OpenAlexaboutno aff
N. Pellegrini, S. Bouche, Frédéric Barbot, M Fig egrave re, Bruno Guillon, Frédéric Lofaso

Bibliographic record

VenueJournal of Rehabilitation Medicine · 2010
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsnot available
Fundersnot available
KeywordsWilcoxon signed-rank testWheelchairPhysical medicine and rehabilitationComputer scienceTest (biology)Assistive technologyPhysical therapySimulationPsychologyMedicineMann–Whitney U testHuman–computer interaction

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of this study was to determine whether manoeuvrability varied between electric wheelchairs. DESIGN: Randomized, prospective, repeated measures design. SUBJECTS: Twelve wheelchair users. METHODS: Three different electric powered indoor/outdoor wheelchairs (Invacare Storm 3, Ottobock B500, and Meyra Champ) intended for use by patients with severe impairments were tested over an indoor and an outdoor circuit. Points were assigned when the users touched the circuit boundaries or failed to pass obstacles. The users completed the Quebec User Evaluation of Satisfaction with Assistive Technology questionnaire (QUEST). RESULTS: Performance was significantly worse with Ottobock B500 compared with the other 2 wheelchairs on the indoor test (Wilcoxon, p < 0.05 for both comparisons) and compared with Invacare Storm on the outdoor test (Wilcoxon, p < 0.05). The mean 6-item QUEST score, effectiveness, and simplicity of use were significantly worse for Ottobock B500 than for the other 2 wheelchairs (Wilcoxon, p < 0.05). CONCLUSION: Differences in manoeuvrability exist between commercially available electric wheelchairs belonging to the same category. Driving tests and QUEST provide complementary and concordant information.

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)0.016
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.117
GPT teacher head0.521
Teacher spread0.404 · 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 designObservational
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

Citations10
Published2010
Admission routes1
Has abstractyes

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