To verify the validity of the dataset, focus on the following four aspects: (1) Whether the…
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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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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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The effect of unaffected side resistance training on upper limb function reconstruction and prevention of sarcopenia in stroke patients: a randomized controlled trial
Feigin, V. L. et al. World Stroke Organization (WSO): Global Stroke Fact Sheet 2022. Int. J.…
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