Article

Identifying Key Gait Features in Stroke Patients: A Machine Learning Approach with Supervised and Unsupervised Validation

2025-09-22

Abstract excerpt

<title>Abstract</title> <p>Stroke is a major cause of motor disability, degrading walking and quality of life. Wearable gait analysis with magneto-inertial measurement units (MIMUs) can quantify post-stroke impairments. We used machine learning to identify discriminative gait features in stroke, coupling supervised feature selection with unsupervised clustering to improve interpretability and generalizability. Ei...

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Literature Corpus work: a362d5e9-624c-5091-a540-8acccd258889
DOI: 10.21203/rs.3.rs-7478886/v1

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