Wairagkar M, Villeneuve E, King R, et al. A novel approach for modelling and classifying sit-to-stand kinematics using inertial sensors. PLOS ONE. 2022. Original article
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DOI: 10.1371/journal.pone.0264126
Bibliographic record from the original reports
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Wairagkar M, Villeneuve E, King R, et al. A novel approach for modelling and classifying sit-to-stand kinematics using inertial sensors. PLOS ONE. 2022. Original article
Conditions: COND-PD Parkinson’s disease
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.
Parkinson’s disease — transfer
- access status: primary_body
Ten younger, 12 older, 12 PD participants; two IMUs on shank/back and inferred thigh motion. Optical reference validation only in younger adults; ten PD measured at home. Four-state classification accuracy in PD 91.41%, covering rise and descent.
Limitations: Only the enumerated transfer-relevant components were adjudicated. Source availability does not imply every statement, supplement, figure or raw datum was checked.
Reports citing this source
- Sit to stand and functional transfer assessment and prognosis in Parkinson’s disease · reference 36 · 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