Article

Sex adaptive deep recurrent neural networks for Parkinson’s disease detection using 5-second vertical ground reaction force signals

2025-11-04

Abstract excerpt

<h4>Background</h4> This study introduces an innovative sex-stratified methodology for the identification of Parkinson’s disease (PD) using vertical ground reaction force (VGRF) data obtained from foot sensors during ambulation. We devised and evaluated four distinct recurrent neural network designs. <h4>Objectives</h4> We identified a substantial deficiency in existing diagnostic methodologies that infrequently...

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Literature Corpus work: f006ec9c-8da5-5436-ac05-9be7dd9b422b
DOI: 10.1101/2025.11.01.25339121

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