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Record W4396590466 · doi:10.1101/2024.04.30.24306658

Ambulosono-Enhanced Ankle Rotation Training Leads to Significant Gains in Balance Among Healthy Adults

2024· preprint· en· W4396590466 on OpenAlexaff
Bin Hu, Muhammad Farhan Raza, Dhruvil Patel, Shahryar Wasif, Taylor Chomiak

Bibliographic record

VenuemedRxiv · 2024
Typepreprint
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAnkleBalance (ability)Physical medicine and rehabilitationBalance testMedicineGaitPhysical therapyBalance trainingExternal rotationPsychologySurgery

Abstract

fetched live from OpenAlex

Abstract The ankle joint, a pivotal element in lower limb-ground interactions, plays a critical role in maintaining gait and balance. In this study, we utilized the Ambulosono device—a sensor- based, music-contingent digital tool designed to assist and monitor ankle training—to investigate the effects of ankle rotation training on functional balance. We measured the durations of the single-leg stand test (SLST) under eyes-closed conditions in a cohort of healthy young adults. Comparisons of pre- and post-training SLST durations were made between the trained and untrained legs within the same subjects. Our findings demonstrated a substantial increase in the SLST durations ipsilateral to the trained ankles, while the untrained ankles in the control legs showed no significant changes. This enhancement in balance function was observed to persist for several hours post-training.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.053
GPT teacher head0.379
Teacher spread0.327 · 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 designNon-randomized trial
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

Citations1
Published2024
Admission routes1
Has abstractyes

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Same venuemedRxiv→Same topicBalance, Gait, and Falls Prevention→French-language works237,207→