Article

Application of Isokinetic Dynamometry Data in Predicting Gait Deviation Index Using Machine Learning in Stroke Patients

2024-08-19

Abstract excerpt

<h4>Background: </h4> Three-dimensional gait analysis plays a crucial role in the rehabilitation assessment of post-stroke hemiplegic patients. However, the data generated from such analysis is often complex and difficult to interpret in clinical practice, requiring extensive time and complicated procedures. The Gait Deviation Index (GDI) serves as a simplified metric for quantifying the severity of pathological g...

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Literature Corpus work: 3eaf6cc9-fe6c-541f-8882-9d9bb6cb6b29
DOI: 10.20944/preprints202408.1199.v1

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