Personalized Stroke Rehabilitation via Stratified Interpretable Modeling With Wearable IMUs

Accurate assessment of post-stroke upper-limb impairment using the Fugl–Meyer Assessment of the Upper Extremity (FMA-UE) is vital for rehabilitation, but clinical administration is burdensome and infrequent. Recent studies have attempted to automate FMA-UE scoring with wearable sensors, yet m...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Zhangli Lu, Huiying Zhou, Gaoyang Pang, Shuyao Zhou, Weijing Sui, Honghao Lyu, Geng Yang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2025-01-01
Sarja:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Aiheet:	Stroke Fugl–Meyer assessment wearable sensors patient stratification generalized additive models
Linkit:	https://ieeexplore.ieee.org/document/11217249/
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