Real-Time Estimation of Anterior-Posterior Ground Reaction Forces in Individuals with Stroke Using Wearable Sensors and Deep Learning

Reduced limb propulsion is linked to impaired mobility and fall risk. Biofeedback retraining that targets anterior ground reaction forces (AGRFs) can enhance propulsion, but current approaches rely on costly lab-based equipment. Inertial measurement u

Authors

Publication Details

Published
2025-10-03
DOI
https://doi.org/10.36227/techrxiv.175951373.33024130/v1
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
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article

Real-Time Estimation of Anterior-Posterior Ground Reaction Forces in Individuals with Stroke Using Wearable Sensors and Deep Learning

Chris Awai Easthope, Cameron A. Nurse, Quentin Sanders, Sofia Marcucci
Stroke Rehabilitation and Recovery
article

Real-Time Estimation of Anterior-Posterior Ground Reaction Forces in Individuals with Stroke Using Wearable Sensors and Deep Learning

Chris Awai Easthope, Cameron A. Nurse, Quentin Sanders, Sofia Marcucci
article en

Abstract

Reduced limb propulsion is linked to impaired mobility and fall risk. Biofeedback retraining that targets anterior ground reaction forces (AGRFs) can enhance propulsion, but current approaches rely on costly lab-based equipment. Inertial measurement u

Openalex Percentile: Top 66%
Stroke Rehabilitation and Recovery
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Real-Time Estimation of Anterior-Posterior Ground Reaction Forces in Individuals with Stroke Using Wearable Sensors and Deep Learning — Chris Awai Easthope, Cameron A. Nurse, et al. · (2025) | TGRS Research Map | TGRS