Article

Predicting Steady-State Walking Velocity from Gait Initiation Biomechanics: A Machine-Learning Approach in Healthy and Parkinsonian Populations

2026-02-11

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> Steady-state walking velocity (SSWV) is a robust indicator of functional mobility, general health, and fall risk. However, its experimental assessment typically requires the analysis of several consecutive walking steps, which exceeds the recording capabilities of the force plate systems commonly used to investigate gait initiation (GI). This methodological li...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 67ae83ac-a339-5eac-9670-a03e19b83f9a
DOI: 10.21203/rs.3.rs-8732923/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Predicting Steady-State Walking Velocity from Gait Initiation Biomechanics: A Machine-Learning Approach in Healthy and Parkinsonian PopulationsDOI 10.21203/rs.3.rs-8732923/v1Read

Indirect measurement of anterior-posterior ground reaction forces using a minimal set of wearable inertial sensors: From healthy to hemiparetic walkingSemantic proximity Read

Gait Kinematics as Biomarkers of Preclinical Parkinson’s Disease: A Systematic Review of Sensor-Based StudiesSemantic proximity Read

Gait Parameters Measured From Wearable Sensors Reliably Detect Freezing of Gait in a Stepping in Place TaskSemantic proximity Read

Impaired Predictive Neuromuscular Control During Sit-to-Walk in Parkinson’s Disease: An Explainable Artificial Intelligence Approach Using Wavelet-Transformed Surface ElectromyographySemantic proximity Read

Personalized Hip Assistance to Improve Gait Performance in Individuals with Parkinson’s DiseaseSemantic proximity Read

Application of Isokinetic Dynamometry Data in Predicting Gait Deviation Index Using Machine Learning in Stroke PatientsSemantic proximity Read

A planar neuromuscular controller to simulate age-related adaptation strategies in the sit-to-walk movementSemantic proximity Read

Longitudinal Study of Boxing Therapy in Parkinson’s Disease, Including Adverse Impacts of the COVID-19 LockdownSemantic proximity Read

Identifying Key Gait Features in Stroke Patients: A Machine Learning Approach with Supervised and Unsupervised ValidationSemantic proximity Read

Administering Movement Assessments via Markerless Motion Capture Provides New Normative Values Over Clinical TestsSemantic proximity Read

Cortical dynamics underlying initiation of rapid steps with contrasting postural demandsSemantic proximity Read

ASSESSMENT OF STABILIZING FEEDBACK CONTROL OF WALKING, A TUTORIALSemantic proximity Read