Validating The Tekscan Strideway As A Measure Of Vertical Ground Reaction Force During Dynamic Movements
Bibliographic record
Abstract
The Tekscan Strideway system is a pressure and force mapping platform that addresses some of the limitations of traditional biomechanical analysis equipment. However, it has not been validated for use in assessing dynamic movements. PURPOSE: The purpose of this study was to validate the Tekscan Strideway against a traditional force plate, for the measurement of forces in response to dynamic movements METHODS: Nine, healthy (3 males, 6 females) participants were recruited for this study. The TekScan Strideway was placed directly on top of a force plate, allowing simultaneous collection of the two signals. Data were collected for three tasks: i) walking; ii) squat jump - data analysis was divided into the initial jump phase and the landing phase; and iii) drop vertical jump - data analysis was divided into an initial impact and a secondary impact phase. The peak force was extracted from the force time curves and used for the validation analysis. Separate one-way repeated measures ANOVAs were used for different tasks tasks and phases. A Bland-Altman analysis was also performed on all tasks and phases. RESULTS: There were no statistically significant differences in the mean peak vertical ground reaction force between the Tekscan Strideway and the force plate for the drop vertical jump during phase 1 (28 N/kg vs 32 N/kg; p = 0.29) and phase 2 (23 N/kg vs 21 N/kg; p = 0.73) and during phase 1 (24 N/kg vs. 21 N/kg; p = 0.40) and phase 2 (41 N/kg vs. 41 N/kg; p = 0.96) of the squat jump. The differences in the mean peak vertical ground reaction forces measured on the Tekscan Strideway and force plate during the walking task were found to be statistically significant (p = 0.003). The Bland-Altman analysis indicated that there was good agreement between the two data collection methods, for all tasks and phases, as the majority of the data points fell within ±1.96 standard deviations of the mean. CONCLUSIONS: The Tekscan Strideway system is a valid measure of vertical ground reaction force for dynamic movements. Furthermore, these tasks reporesent those used clinically to determine an athletes readiness to return to play Therefore, this study supports the versatile Tekscan Strideway system when assessing lower limb biomechanics in a clinical or laboratory setting. Supported by NSERC(R5467A02) and Western University’s Bone and Joint Institute
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".