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

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

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

As we know, strokes are one of the world's leading causes of death, and the cruel aspect of a stroke is that it leaves people with severe functional disability and/or cognitive impairment. Strokes have a significant impact on economies worldwide, as it is estimated that about 10% of the male population and 8% of the female population are affected by them. Such people need personal help in their everyday life and must be materially supported by social services. With the advancement of medicine, artificial intelligence, and new technologies have been developing rapidly and are gradually applied in diseases of the nervous system, increasingly helping diagnosis, treatment, rehabilitation, and prognosis of disease.This Special Issue has collected the 14 papers on artificial intelligence and new technologies in strokes, including in the aspects of diagnosis, treatment, prognosis, rehabilitation, and nursing. We welcome your reading.
URI

Jia, Jie (editor); Hu, Yan (editor); Zhang, Dingguo (editor)

https://directory.doabooks.org/handle/20.500.12854/98836

MDPI - Multidisciplinary Digital Publishing Institute
www.mdpi.com/books

2023

Sugiati

https://creativecommons.org/licenses/by/4.0/

pdf

English

Textbooks

ISBN: 9783036568393, 9783036568386
DOI: 10.3390/books978-3-0365-6838-6