Greene BR, Premoli I, McManus K, et al. Predicting fall counts using wearable sensors: a novel digital biomarker for Parkinson's disease. Sensors. 2022;22:54 (published online December 2021). DOI 10.3390/s22010054
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DOI: 10.3390/s22010054
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.
Greene BR, Premoli I, McManus K, et al. Predicting fall counts using wearable sensors: a novel digital biomarker for Parkinson's disease. Sensors. 2022;22:54 (published online December 2021). DOI 10.3390/s22010054
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 — gait
- access status: primary_body_retrieved
Latest listed audit check, current for its stated components. Later recovery/refinement here supersedes earlier access limitations only where explicitly stated; it does not resolve unrelated source contradictions.
Independent QA refinement, confirmed from original XML equations FD1/FD2: shifted log transform and inverse are both specified. Table 2 RMSE scale remains ambiguous; do not assert definite log-scale evaluation. Numeric Table 2 entries remain supported. Source locator: Original longitudinal Table 3 footnote / archived source evidence equations FD1–FD2 and Table 2 Limit: No raw-data reanalysis. This supersedes broader earlier audit wording.
Earlier audit check 1 (historical evidence record). Its access limitations are superseded wherever the latest check above explicitly closes them. Retained for the distinct components and provenance, not as a current access statement.
GaitP45,P86-88:PD1N15vsPD2N26;pretrained components plus targetdatasetnegativebinomialfit;PD1outlier127;reported mixedmeanRMSE.42 not a singlefutureforecast;nooutcome-surrogatevalidation. Source locator: s6QTUGMethods;s8-12Statisticalanalysis;s15-17Results;s18Discussion Limit: Rossbody omittedTables1-3;exact PD1R2.50/RMSE1.27 and.73/.41 afterexclusion require directtable verification. PD1eventcounts/horizons require s4Dataset andTable1. XML retrieval initiated.
Earlier audit check 2 (historical evidence record). Its access limitations are superseded wherever the latest check above explicitly closes them. Retained for the distinct components and provenance, not as a current access statement.
GaitP86-88 exactTables1-2:PD1n15,8fallers181falls24week;Table2R2.50RMSE1.27,after>10falloutlierexclusionn12R2.73RMSE.41;PD2analysed26. Dataset sections confirm prospectivePD1 versus retrospectivePD2. Source locator: DirectEuropePMCXML PMC8747473,table-wrap sensors-22-00054-t001 andt002,Dataset2.2/2.3;statistical4.2 Limit: Table1 prints27PD2 butsex17+9=26,fallers8+18=26 andTable2N26;report usesanalysisN correctly. Models log-transform1+falls, but tableRMSEscale notexplicitlylabelled.
Limitations: Only scoped comparisons, not whole-paper certification.
Linked audit findings
Reports citing this source
- Gait analysis and prognosis in Parkinson’s disease · reference 21 · 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-WEARABLEGAIT Wearable and instrumented gait