Khalil RM, Shulman LM, Gruber-Baldini AL, et al. Machine Learning and Statistical Analyses of Sensor Data Reveal Variability Between Repeated Trials in Parkinson’s Disease Mobility Assessments. Sensors. 2024. Original article
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DOI: 10.3390/s24248096
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.
Khalil RM, Shulman LM, Gruber-Baldini AL, et al. Machine Learning and Statistical Analyses of Sensor Data Reveal Variability Between Repeated Trials in Parkinson’s Disease Mobility Assessments. Sensors. 2024. 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
262 PD/50 controls, repeated TUG/cognitive TUG within one minute. Total duration good/excellent reliability; selected feature median ICCs .36–.61, chair components more variable. Severity-related between-person spread affects ICC.
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 42 · 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