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Record W25979986

Influence of mobility and daily activity on low-threshold EMG in older women

2009· article· en· W25979986 on OpenAlexaff
Sara H. Bruce

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2009
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPhysical medicine and rehabilitationPsychologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Increases in low threshold EMG may occur as a consequence of mobility or daily activity. The purpose of this study was to determine whether mobility (ambulation and life-space movement) or activities of daily living influence low-threshold EMG in older women (>75 years). EMG was examined in upper and lower body muscles for an 8-hour day and compared with assessments of mobility from Global Positioning Systems and pedometers. Although mobility scores did not differ between groups, community-dwelling women reported higher instrumental activities of daily living compared with retirement-dwelling. EMG burst activity was ~25% greater and gap activity ~45% less in retirement-dwellers. Upper extremity muscles had ~45% greater number and rate of bursts and gaps than lower extremity muscles. On and off cycle of low threshold EMG in upper extremities and higher burst and lower gap activity in retirement-dwelling women likely occurs because EMG is sensitive to instrumental activities of daily living.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0010.000

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 head0.011
GPT teacher head0.233
Teacher spread0.223 · 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 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

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueScholarship at UWindsor (University of Windsor)→Same topicCerebral Palsy and Movement Disorders→French-language works237,207→