Research map: A Compensatory-Topology and Relay-Gating Graph Network for multimodal stroke rehabilitation assessment

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  1. Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition · Pengfei Zhang · 2020 · 657 citations · Cited by this paper
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  19. Upper limb assessment with inertial measurement units according to the international classification of functioning in stroke: a systematic review and correlation meta-analysis · Alex Martino Cinnera · 2023 · 45 citations · Cited by this paper
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  21. D-STGCNT: A Dense Spatio-Temporal Graph Conv-GRU Network based on transformer for assessment of patient physical rehabilitation · Youssef Mourchid · 2023 · 45 citations · Cited by this paper
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  23. A Contrastive Learning Network for Performance Metric and Assessment of Physical Rehabilitation Exercises · Long Yao · 2023 · 26 citations · Cited by this paper
  24. Wearable Sensor to Monitor Quality of Upper Limb Task Practice for Stroke Survivors at Home · Na Jin Seo · 2024 · 26 citations · Cited by this paper
  25. Machine Learning-Based Computer Vision for Depth Camera-Based Physiotherapy Movement Assessment: A Systematic Review · Yafeng Zhou · 2025 · 20 citations · Cited by this paper
  26. Accuracy of gait and posture classification using movement sensors in individuals with mobility impairment after stroke · Johannes Pohl · 2022 · 18 citations · Cited by this paper
  27. EGCN++: A New Fusion Strategy for Ensemble Learning in Skeleton-Based Rehabilitation Exercise Assessment · Bruce X. B. Yu · 2024 · 18 citations · Cited by this paper
  28. Concurrent validity of machine learning-classified functional upper extremity use from accelerometry in chronic stroke · Shashwati Geed · 2023 · 17 citations · Cited by this paper
  29. A Novel, Wearable Inertial Measurement Unit for Stroke Survivors: Validity, Acceptability, and Usability · Lauri Bishop · 2024 · 17 citations · Cited by this paper
  30. LightPRA: A Lightweight Temporal Convolutional Network for Automatic Physical Rehabilitation Exercise Assessment · Sara Sardari · 2024 · 17 citations · Cited by this paper
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  32. Wearable-Based Kinematic Analysis of Upper-Limb Movements During Daily Activities Could Provide Insights into Stroke Survivors’ Motor Ability · Sunghoon Ivan Lee · 2024 · 14 citations · Cited by this paper
  33. Frame topology fusion-based hierarchical graph convolution for automatic assessment of physical rehabilitation exercises · Shaohui Zhang · 2025 · 14 citations · Cited by this paper
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  35. A Low-Cost System Using a Big-Data Deep-Learning Framework for Assessing Physical Telerehabilitation: A Proof-of-Concept · José Miguel Ramírez‐Sanz · 2023 · 10 citations · Cited by this paper
  36. Automatic rehabilitation assessment method of upper limb motor function based on posture and distribution force · Jing Bai · 2024 · 10 citations · Cited by this paper
  37. Accuracy and Reliability of Remote Categorization of Upper Limb Outcome After Stroke · Harry T. Jordan · 2024 · 8 citations · Cited by this paper
  38. Improved spatial–temporal graph convolutional networks for upper limb rehabilitation assessment based on precise posture measurement · Jing Bai · 2023 · 6 citations · Cited by this paper
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