Evidence map›Paper›PMID 42256576›Full record

ArticleFrontiers in neurology

Impaired pendulum-like mechanics during post-stroke walking: a biomechanical comparison with healthy individuals.

Serena Cerfoglio, Luca Vismara, Lorenzo Priano, Alessandro Mauro, Matteo Bigoni, Manuela Galli, Veronica Cimolin

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In one paragraph

Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Serena CerfoglioDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Luca VismaraDepartment of Neurosciences, University of Turin, Turin, Italy.
Lorenzo PrianoDivision of Neurology and Neurorehabilitation, IRCCS Istituto Auxologico Italiano, Verbania, Italy.
Alessandro MauroDivision of Neurology and Neurorehabilitation, IRCCS Istituto Auxologico Italiano, Verbania, Italy.
Matteo BigoniDivision of Neurology and Neurorehabilitation, IRCCS Istituto Auxologico Italiano, Verbania, Italy.
Manuela GalliDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Veronica CimolinDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: After stroke, many individuals recover the ability to walk independently. However, post-stroke gait remains inefficient and energetically demanding. Alterations in the pendulum-like exchange of mechanical energy of the center of mass (CoM) may contribute to gait inefficiency. Methods: 30 post-stroke individuals and 30 healthy controls walked at self-selected speed while 3D motion capture data were collected with an optoelectronic system. Spatio-temporal gait parameters were computed, and CoM mechanical energy was estimated from pelvic marker trajectories. Mechanical efficiency was quantified using the Energy Recovery Index (ERI) and Congruity (C) between potential and kinetic energy. Between-group differences were assessed using independent-samples Results: Compared with healthy controls, post-stroke participants exhibited significantly reduced walking speed, shorter step and stride lengths, and prolonged double support time ( Discussion: Post-stroke walking is characterized by impaired pendulum-like mechanics of the CoM that are not solely attributable to reduced walking speed. Mechanical energy recovery is closely associated with spatio-temporal and functional gait characteristics, supporting the use of biomechanical indices such as ERI to complement conventional gait assessment and plan targeted rehabilitation strategies.

Indexed as

energy recoverygait biomechanicsmechanical efficiencymotion capturestroke

Identifiers

PMID42256576
PMCPMC13236499

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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 Socratic graph.