Robotic rehabilitation holds great promise for helping patients recover from stroke, but current systems often lack…
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Spike train analysis in rehabilitation movement classification using deep learning approach
This section presents the results of the physiotherapy movement’s recognition problem throughout the research. The proposed…
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Multiscale SPD manifold learning for rehabilitation exercise evaluation
Dataset overview This study evaluates our method using three publicly available skeleton-based datasets: UI-PRMD37, KIMORE38, and…
Continue ReadingNon-hand-worn, load-free VR rehabilitation system facilitates hand recovery with deep learning and ionic hydrogel technology
image: A non-hand-worn, load-free VR hand rehabilitation system based on ionic hydrogel can collect EMG signals…
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Mom of police officer allegedly killed by Karen Read recalls learning her son was ‘found in a snowbank’
In tearful testimony, the mother of a Boston police officer recounted Wednesday how her son was…
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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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