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Research and application advances in rehabilitation assessment of stroke.
J Zhejiang Univ Sci B. 2022 Aug 15;23(8):625-641. doi: 10.1631/jzus.B2100999.
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Transcranial magnetic stimulation (TMS) in stroke: Ready for clinical practice?
J Clin Neurosci. 2016 Sep;31:10-4. doi: 10.1016/j.jocn.2016.01.034. Epub 2016 Jul 6.
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Application of noninvasive brain stimulation for post-stroke dysphagia rehabilitation.
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The impact of large structural brain changes in chronic stroke patients on the electric field caused by transcranial brain stimulation.
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[Research Progress and Application Prospect of Nerve Rehabilitation by Transcranial Electrical and Magnetic Stimulation].
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Noninvasive Transcranial Magnetic Brain Stimulation in Stroke.
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Editorial: Innovative approaches to promote stroke recovery.
Front Neurosci. 2025 Aug 6;19:1657124. doi: 10.3389/fnins.2025.1657124. eCollection 2025.
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Virtual reality-based rehabilitation experience of stroke survivors: a meta-synthesis of qualitative studies.
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Development of an upper limb muscle strength rehabilitation assessment system using particle swarm optimisation.
Front Bioeng Biotechnol. 2025 Jul 9;13:1619411. doi: 10.3389/fbioe.2025.1619411. eCollection 2025.
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AI Applications in Adult Stroke Recovery and Rehabilitation: A Scoping Review Using AI.
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Brain-computer Interaction in the Smart Era.
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Bibliometric and visualized analysis of the application of artificial intelligence in stroke.
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Investigating the relationship of trunk and postural control with pulmonary functions in subacute stroke patients.
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Neuromuscular conditions in post-stroke ankle-foot dysfunction reflected by surface electromyography.
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本文引用的文献

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Transcranial Magnetic Stimulation for the Neurological Patient: Scientific Principles and Applications.
Semin Neurol. 2022 Apr;42(2):149-157. doi: 10.1055/s-0041-1742265. Epub 2022 Feb 25.
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Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association.
Circulation. 2022 Feb 22;145(8):e153-e639. doi: 10.1161/CIR.0000000000001052. Epub 2022 Jan 26.
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Different sEMG and EEG Features Analysis for Gait phase Recognition.
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:1002-1006. doi: 10.1109/EMBC44109.2020.9175655.
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Deep neural networks enable quantitative movement analysis using single-camera videos.
Nat Commun. 2020 Aug 13;11(1):4054. doi: 10.1038/s41467-020-17807-z.
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Artificial Intelligence Applications in Stroke.
Stroke. 2020 Aug;51(8):2573-2579. doi: 10.1161/STROKEAHA.119.027479. Epub 2020 Jul 22.

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