The Feasibility and Validity of Body-Worn Sensors to Supplement Timed Walking Tests for Children with Neurological Conditions
Bibliographic record
Abstract
AIMS: The 10-meter walk test (10 mWT) and Timed Up and Go (TUG) are assessments of speed/time with a ceiling effect in pediatric populations. This study aimed to (1) determine whether collecting spatiotemporal data with inertial sensors (Mobility Lab, APDM Inc.) during these tests improves their discriminative validity, and (2) evaluate the clinical feasibility of Mobility Lab. METHODS: Fifteen children with spina bifida (SB) or cerebral palsy (CP) (7.9 ± 3.1 years old) and fifteen age- and sex-matched typically-developing (TD) children completed the 10 mWT and TUG wearing Mobility Lab. Spatiotemporal data were compared between groups. Mobility Lab's potential to distinguish children with SB/CP from TD children was examined using conditional logistic regression. Feasibility was evaluated through participant adherence and a clinical utility scale. RESULTS: For the 10 mWT, group differences (p < 0.01) were found in horizontal and frontal trunk range of motion, horizontal trunk velocity, and swing asymmetry. Children with SB/CP took significantly longer to turn during the TUG. These five variables together distinguished the two groups (p = 0.006). 78% of participants with SB/CP completed the testing protocol. Mobility Lab scored 4/10 on the clinical utility scale. CONCLUSIONS: Instrumenting the 10 mWT and TUG improves the tests' ability to discriminate between children with SB/CP and TD children.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".