Evidence map›Paper›PMID 41094822›Full record

ArticleSensors (Basel, Switzerland)2025

A New Methodological Approach Integrating Motion Capture and Pressure-Sensitive Gait Data to Assess Functional Mobility in Parkinson's Disease: A Two-Phase Study.

Sabrina Köchli, Isabel Casso, Yvonne N Delevoye-Turrell, Stefan Schmid, Dawn C Rose, Caroline Whyatt

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sabrina KöchliSchool of Music, Lucerne University of Applied Sciences and Arts, 6010 Lucerne, Switzerland.ORCID 0000-0003-0766-7476
Isabel CassoUMR 9193-SCALab-Sciences Cognitives et Sciences Affectives, Université de Lille, CNRS, F-59000 Lille, France.ORCID 0000-0003-2963-5686
Yvonne N Delevoye-TurrellUMR 9193-SCALab-Sciences Cognitives et Sciences Affectives, Université de Lille, CNRS, F-59000 Lille, France.ORCID 0000-0003-4034-3684
Stefan SchmidSchool of Health Professions, Bern University of Applied Sciences, 3007 Bern, Switzerland.ORCID 0000-0001-5138-9800
Dawn C RoseSchool of Music, Lucerne University of Applied Sciences and Arts, 6010 Lucerne, Switzerland.ORCID 0000-0003-2945-9491
Caroline WhyattSport and Geography, Department of Psychology, University of Hertfordshire, Hertfordshire AL10 9AB, UK.ORCID 0000-0003-4589-7280

Funding

Swiss National Science Foundation 100001C_204/290
6 · The paper itself

Abstract

Existing clinical assessments of Parkinson's disease (PD) primarily focus on stratifying symptom severity or progression rate, which limits their ability to capture changes in functional mobility-an important factor in evaluating rehabilitation outcomes. To address this gap, we developed a novel methodology, the Functional Mobility Assessment for Parkinson's (FMA-P), which integrates motion capture and pressure-sensitive gait analysis to explore key aspects of functional mobility. Study 1. To develop the FMA-P, we conducted a pilot study involving 12 individuals with PD and 12 age-matched healthy controls, who each completed the FMA-P sequence three times. The sequence included the following tasks: rising from a chair, walking through a doorway, turning, bending to pick up and place an object, and returning to a seated position. Results from Study 1 demonstrated that the FMA-P is a sensitive tool for identifying functional impairments in PD. In particular, significant differences between people with Parkinson's (PwP) and controls were observed during chair rise (higher peak trunk inclination,

Indexed as

GaitGait AnalysisParkinson DiseaseAgedBiomechanical PhenomenaFemaleHumansMaleMiddle AgedMotionMotion CapturePilot ProjectsPostural BalancePressureWalkingfunctional mobilitygait mat analysismotion captureParkinson’s diseaserehabilitation

Identifiers

PMID41094822
PMCPMC12526586

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.