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