Alammari BJ, Schoenwether B, Ripic Z, Kirk-Sanchez N, Eltoukhy M, Bishop L. Validity of AI-Driven Markerless Motion Capture for Spatiotemporal Gait Analysis in Stroke Survivors. Sensors (Basel, Switzerland). 2025;25(17). DOI 10.3390/s25175315
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DOI: 10.3390/s25175315
Bibliographic record from the original reports
Access labels embedded in these original reference strings are historical. Current access and exact checked components are stated separately below.
Alammari BJ, Schoenwether B, Ripic Z, Kirk-Sanchez N, Eltoukhy M, Bishop L. Validity of AI-Driven Markerless Motion Capture for Spatiotemporal Gait Analysis in Stroke Survivors. Sensors (Basel, Switzerland). 2025;25(17). DOI 10.3390/s25175315 Source examined: Full text.
Conditions: COND-STROKE Stroke
Scoped audit evidence
These are source- and component-level audit summaries as of 3 October 2026. Access and comparison scope can differ by report; none certifies every result or the underlying raw data.
Stroke gait — gait
- current access statement: Current audit access: full_body. Prior claims of licensed reading are not re-certified merely from present availability.
- source access: full_body
Methods and Tables 1–3 confirm 19 survivors, eight-camera KinaTrax versus Zeno, one matched cycle per trial, comfortable speed limits ±0.03 m/s and paretic single-support ICC 0.314. Stride width agreement is poor.
Source locator: audit evidence record E009–025; Tables1–3 E037–039
Limitations: The statistical text mixes average-rating and single-measure wording. Reported results remain parameter-specific; between-day, home-use and prognostic validity are not established.
Reports citing this source
- Gait assessment and prognosis after stroke · reference 51 · original reference
Update record
- 2026-10-03: Created from the supplied reports and final scoped audit. New evidence should be appended with source version, access date, exact locator and affected report links.
Updating the wiki · Evidence and status guide
Linked knowledge pages
- TEST-MARKERLESS Markerless and video gait analysis