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.
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.
What it found
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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.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Deep Brain Stimulation as a Rehabilitation Amplifier: A Precision-Oriented, Network-Guided Framework for Functional Restoration in Movement Disorders.Journal of clinical medicine · 2026Review
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Authors and funding
6 authors.
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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,
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