Center of Pressure- and Machine Learning-based Gait Score and Clinical Risk Factors for Predicting Functional Outcome in Acute Ischemic Stroke-Reference-Cited by-同舟云学术

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Center of Pressure- and Machine Learning-based Gait Score and Clinical Risk Factors for Predicting Functional Outcome in Acute Ischemic Stroke

Published:2024-08 Issue: Volume: Page:
ISSN:0003-9993
Container-title:Archives of Physical Medicine and Rehabilitation
language:en
Short-container-title:Archives of Physical Medicine and Rehabilitation

Author:

Jeon Eun-Tae,Lee Sang-hun,Eun Mi-Yeon,Jung Jin-Man

Funder

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Publisher

Elsevier BV

Reference41 articles.

1. Global Burden of stroke;Feigin;Circ. Res.,2017

2. Early prediction of outcome of activities of daily living after stroke: A systematic review;Veerbeek;Stroke,2011

3. Gait rehabilitation after stroke: review of the evidence of predictors, clinical outcomes and timing for interventions;Selves;Acta Neurol. Belg.,2020

4. Wearable sensors improve prediction of post-stroke walking function following inpatient rehabilitation;O'Brien;IEEE J. Transl. Eng. Health Med.,2022

5. Prediction of myoelectric biomarkers in post-stroke gait;Hussain;Sensors (Basel),2021

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