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Record W2166649898 · doi:10.3109/09593980902967188

Orthotic functional electrical stimulation following botulinum toxin for a young adult with severe hand impairment due to childhood stroke

2010· article· en· W2166649898 on OpenAlexaboutno aff
Pierce Boyne, Kari Dunning, Peter Levine, Valerie Hill Hermann, Stephen J. Page

Bibliographic record

VenuePhysiotherapy Theory and Practice · 2010
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePhysical medicine and rehabilitationBotulinum toxinStimulationFunctional electrical stimulationStroke (engine)Functional impairmentPhysical therapyAnesthesiaPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

ABSTRACT This case report describes the outcomes of a task-specific training protocol using functional electrical stimulation for a young adult with severe hand impairment from a childhood stroke who had a history of tendon transfer and a recent botulinum toxin injection. A 22-year-old female who had a hemorrhagic stroke at age 5, a tendon transfer at 18, and a botulinum toxin injection 6 weeks before study entry, participated in a home- and clinic-based task-specific training program using a functional electrical stimulation orthosis. Training was 30-90 minutes per day, 4 days per week, for 4 weeks. Stroke-specific outcomes were measured before and after intervention. Increases occurred in the following scores: Action Research Arm Test, Stroke Impact Scale Hand Function Domain, and Canadian Occupational Performance Measure. A task-specific training protocol using orthotic functional electrical stimulation appears to have increased hand function and quality of life for an adult with chronic, childhood-onset stroke. To our knowledge, this is the first study to investigate the efficacy of functional electrical stimulation for such an individual.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.291
Teacher spread0.285 · 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 designCase report
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

Citations4
Published2010
Admission routes1
Has abstractyes

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