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Record W2042796210 · doi:10.1097/jpo.0b013e3182532419

Bernstein’s Levels of Construction of Movements Applied to Upper Limb Prosthetics

2012· article· en· W2042796210 on OpenAlexaff
Raoul M. Bongers, Peter Kyberd, Hanneke Bouwsema, Laurence Kenney, Dick H. Plettenburg, Corry K. van der Sluis

Bibliographic record

VenueJPO Journal of Prosthetics and Orthotics · 2012
Typearticle
Languageen
FieldEngineering
TopicMuscle activation and electromyography studies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsProsthesisUpper limbPhysical medicine and rehabilitationProsthetic handComputer scienceMedicineArtificial intelligence

Abstract

fetched live from OpenAlex

This article addresses the neuromotor control processes underlying the use of an upper limb prosthesis. Knowledge of these processes is used to make recommendations as to how prostheses and prosthesis training should develop to advance the functionality of upper limb prostheses. Obviously, modern-day prostheses are not optimally integrated in neuromotor functioning. The current article frames the problems underlying the handling of upper limb prosthetic devices in the hierarchical levels of construction of movement as proposed by Bernstein (1996). It follows that 1) postural disturbances resulting from prosthetic use should be considered in training and in the development of prosthetic devices, 2) training should take into account that new synergies have to be learned, 3) the feedback about the state of the prosthesis should improve, and 4) the alteration between different grip patterns should be made easy and fast. We observed that many of the current innovations in the prosthetics field are in line with the aim to integrate the prosthesis in sensory-motor functioning.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score0.424

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 head0.012
GPT teacher head0.220
Teacher spread0.207 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations39
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueJPO Journal of Prosthetics and OrthoticsSame topicMuscle activation and electromyography studiesFrench-language works237,207