A portable, low-cost system for posturography: a platform for longitudinal balance telemetry.
Bibliographic record
Abstract
OBJECTIVE: The Nintendo Wii Balance Board (WBB) is a low-cost, commercially available gaming device that shares many characteristics with a laboratory-grade forceplate. This study evaluates the WBB and explores its potential application as a low-cost posturography system. METHODS: Custom software was written to interface with the WBB and measure the Modified Clinical Test of Sensory Interaction on Balance (mCTSIB). Centre of pressure (COP) path length was the primary outcome measure. Healthy patients without a history of vestibular problems were recruited to undertake testing on the WBB and underwent matched testing on an AMTI forceplate. RESULTS: Evaluation of the WBB transducers demonstrated excellent linearity (r = .994, p < .0001). Bland-Altman plots did not demonstrate any relationship between the mean and the difference for the four tested conditions. CONCLUSIONS: The WBB can be used as part of a portable, low-cost posturography system offering new options for longitudinal telemetry and in-home testing.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".