Explainable Artificial Intelligence in Stroke from the Clinical, Rehabilitation and Nursing Perspectives
| Title: | Explainable Artificial Intelligence in Stroke from the Clinical, Rehabilitation and Nursing Perspectives |
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| Contributors: | Jia, Jie, Hu, Yan, Zhang, Dingguo |
| Publisher Information: | Basel: MDPI - Multidisciplinary Digital Publishing Institute, 2023. |
| Publication Year: | 2023 |
| 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 |
| More Details: | 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. |
| Document Type: | eBook |
| File Description: | application/octet-stream |
| Language: | English |
| ISBN: | 978-3-0365-6839-3 978-3-0365-6838-6 |
| DOI: | 10.3390/books978-3-0365-6838-6 |
| Access URL: | https://directory.doabooks.org/handle/20.500.12854/98836 https://mdpi.com/books/pdfview/book/6889 |
| Rights: | Attribution 4.0 International open access URL: http://purl.org/coar/access_right/c_abf2 URL: https://creativecommons.org/licenses/by/4.0/ |
| Notes: | ONIX_20230405_9783036568393_115 |
| Accession Number: | edsdob.20.500.12854.98836 |
| Database: | Directory of Open Access Books |
| ISBN: | 9783036568393 9783036568386 |
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| DOI: | 10.3390/books978-3-0365-6838-6 |
| Language: | English |