Explainable Artificial Intelligence in Stroke from the Clinical, Rehabilitation and Nursing Perspectives

Contributors: Jia, Jie, Hu, Yan, Zhang, Dingguo

Subject Terms: non-invasive brain stimulation, stroke, spasticity, meta-analysis, hemiplegia, electromyographic bridge, upper limb rehabilitation, randomized controlled trial, hypoxic ischemic encephalopathy, disorders of consciousness, metabolic connectivity, positron emission tomography, 18F-fluorodeoxyglucose, hand function rehabilitation, hand rehabilitation robot, computer vision technology, wearable devices, sensors, artificial intelligence, brain–computer interface, active rehabilitation training, motor function, brain function, executive function, postural control, gait, repetitive transcranial stimulation, facial paralysis, peripheral magnetic stimulation, blood flows, laser speckle, stroke rehabilitation, upper limb, automated system, motor function assessment, Fugl-Meyer Assessment, motor attempt (MA), EEG, deep learning method, overlapping time window, facial expression recognition (FER), vision transformer (ViT), convolutional neural networks (CNNs), rehabilitation, assessment, upper extremity, hand, brain–computer interfaces, motor task, sensorimotor rhythm, hand rehabilitation, motor imagery, virtual reality, rTMS, DTI, immersive virtual reality, post-stroke cognitive impairment, aging, Medicine and Nursing, Neurology and clinical neurophysiology

File Description: application/octet-stream

Access URL: https://directory.doabooks.org/handle/20.500.12854/98836
https://mdpi.com/books/pdfview/book/6889

Effects of Electromyography Bridge on Upper Limb Motor Functions in Stroke Participants: An Exploratory Randomized Controlled Trial

Authors: Qin Zhao, Gongwei Jia, Lang Jia, Yule Wang, Wei Jiang, Yali Feng, Hang Jiang, Lehua Yu, Jing Yu, Botao Tan

Source: Brain Sciences, Vol 12, Iss 7, p 870 (2022)

Subject Terms: stroke, hemiplegia, electromyographic bridge, upper limb rehabilitation, randomized controlled trial, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3425/12/7/870; https://doaj.org/toc/2076-3425

Access URL: https://doaj.org/article/e9dea4fd7c454f35a71371934b06dd7b

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