scispace - formally typeset
G

Gabriele Paolini

Researcher at University of Sassari

Publications -  19
Citations -  1111

Gabriele Paolini is an academic researcher from University of Sassari. The author has contributed to research in topics: Gait (human) & Gait analysis. The author has an hindex of 6, co-authored 18 publications receiving 983 citations. Previous affiliations of Gabriele Paolini include University of Virginia Health System & University of Virginia.

Papers
More filters
Journal ArticleDOI

A kinematic and kinetic comparison of overground and treadmill walking in healthy subjects.

TL;DR: T treadmill gait is qualitatively and quantitatively similar to overground gait, and it is now possible for clinical movement analysis to take advantage of treadmill-based protocols.
Journal ArticleDOI

Altered ankle kinematics and shank-rear-foot coupling in those with chronic ankle instability.

TL;DR: Altered ankle kinematics and joint coupling during the terminal-swing phase of gait may predispose a population with CAI to ankle-inversion injuries.
Journal ArticleDOI

Effects of balance training on gait parameters in patients with chronic ankle instability: a randomized controlled trial

TL;DR: Balance training significantly altered the relationship between shank rotation and rearfoot inversion/eversion in those with chronic ankle instability, and there was a significant decrease in the shank/rearfoot coupling variability during walking as measured by deviation phase after balance training.
Journal ArticleDOI

Testing of a tri-instrumented-treadmill unit for kinetic analysis of locomotion tasks in static and dynamic loading conditions

TL;DR: This instrumented treadmill demonstrated acceptable accuracy and signal to noise ratios for all ground reaction force components such that it can be useful for a variety of research and clinical gait analysis applications.
Journal ArticleDOI

A 2D markerless gait analysis methodology: validation on healthy subjects

TL;DR: A 2D markerless technique allows a quantitative assessment of the lower limb motion in the sagittal plane, simplifying the experimental setup and reducing the cost with respect to traditional marker based gait analysis protocols.