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Validity of AI-Driven Markerless Motion Capture for Spatiotemporal Gait Analysis in Stroke Survivors

Gait recovery after stroke is a primary goal of rehabilitation, therefore it is imperative to develop technologies that accurately identify gait impairments after stroke. Markerless motion capture (MMC) is an emerging technology that has been validated in healthy individuals. Our study aims to evalu...

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Principais autores: Balsam J. Alammari, Brandon Schoenwether, Zachary Ripic, Neva Kirk-Sanchez, Moataz Eltoukhy, Lauri Bishop
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-08-01
Serier:Sensors
Fag:
stroke
artificial intelligence
motion capture
biomechanics
gait
spatiotemporal parameters
Online adgang:https://www.mdpi.com/1424-8220/25/17/5315
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