New glove free VR tech could transform stroke rehab

New glove free VR tech could transform stroke rehab

Developed by a team at Zhengzhou University, the system integrates deep learning with ionic hydrogel electrodes…

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Empowering stroke recovery with upper limb rehabilitation monitoring using TinyML based heterogeneous classifiers

Empowering stroke recovery with upper limb rehabilitation monitoring using TinyML based heterogeneous classifiers

This section delineates the proposed architecture of a home-based upper limb rehabilitation system leveraging TinyML, along…

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App uses music-driven facial exercises to aid stroke recovery and muscle control

App uses music-driven facial exercises to aid stroke recovery and muscle control

The JYMMiN Face Active app offers millions of patients a new motivating way to train their…

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An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients

An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients

FigureĀ 1 gives the overall components of our proposed ML-Driven rehabilitation approach for lower limb exercises. Unlike…

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Adherence to rehabilitation exercise and influencing factors among people with acute stroke: a cross-sectional study

Adherence to rehabilitation exercise and influencing factors among people with acute stroke: a cross-sectional study

Introduction Acute stroke, frequently referred to as a cerebrovascular accident, is an acute episode of focal…

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Walking exercises improve stroke rehab

Walking exercises improve stroke rehab

Stroke patients leave the hospital with better prospects if they’re forced to hoof it more during…

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