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Related Experiment Video

Updated: Feb 10, 2026

The Mouse Stroke Unit Protocol with Standardized Neurological Scoring for Translational Mouse Stroke Studies

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Published on: February 7, 2025

A new methodology based on functional principal component analysis to study postural stability post-stroke.

M Luz Sánchez-Sánchez¹, Juan-Manuel Belda-Lois², Silvia Mena-Del Horno¹

¹Department of Physical Therapy, Faculty of Physical Therapy, University of Valencia, Gascó Oliag street, 5, 46010, Valencia, Spain.

Clinical Biomechanics (Bristol, Avon)

|May 19, 2018

Summary

This summary is machine-generated.

This study introduces a new method for analyzing balance recovery after stroke, even with limited data. Specific physical therapy techniques significantly improved postural stability in stroke survivors compared to standard care.

Keywords:

Functional Principal Component Analysis Postural stability Posturography Romberg Stroke

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Computerized Adaptive Testing System of Functional Assessment of Stroke

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

Area of Science:

Rehabilitation Medicine
Biostatistics
Neuroscience

Background:

Effective stroke rehabilitation aims to improve postural stability.
Functional Principal Component Analysis (FPCA) aids in understanding recovery trends but faces challenges with missing data.
Developing methods to handle scarce data is crucial for analyzing functional recovery.

Purpose of the Study:

To present an alternative technique for obtaining Functional Principal Components without prior functional data conversion.
To investigate this methodology's effectiveness in assessing physical therapy's impact on balance recovery in elderly stroke survivors with hemiplegia.

Main Methods:

A randomized controlled pilot trial involving 30 post-stroke inpatients.
Comparison of a control group receiving conventional physical therapy with a target group receiving additional specific techniques.
Quantification of postural stability using posturography, with monthly assessments for up to six months post-stroke.

Main Results:

The target group demonstrated significant improvement in postural control recovery trends six months post-stroke, unlike the control group.
Significant differences in specific assessed parameters were observed between the treatment groups (P < 0.05).

Conclusions:

The proposed methodology enables FPCA with scarce data, facilitating the analysis of recovery dynamics.
Additional physical therapy techniques in the target group enhanced postural stability compared to the conventional protocol.