Explainable Artificial Intelligence in Stroke from the Clinical, Rehabilitation and Nursing Perspectives
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 populat...
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| Format: | Online |
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| Język: | angielski |
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MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Hasła przedmiotowe: | |
| Dostęp online: | ONIX_20230405_9783036568393_115 |
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| _version_ | 1869523003291729920 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-98836 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-988362024-03-31T13:08:19Z Explainable Artificial Intelligence in Stroke from the Clinical, Rehabilitation and Nursing Perspectives Jia, Jie Hu, Yan Zhang, Dingguo 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 thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKJ Neurology and clinical neurophysiology 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. 2023-04-05T12:53:27Z 2023-04-05T12:53:27Z 2023 book ONIX_20230405_9783036568393_115 9783036568393 9783036568386 https://directory.doabooks.org/handle/20.500.12854/98836 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/6889 https://mdpi.com/books/pdfview/book/6889 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6838-6 10.3390/books978-3-0365-6838-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036568393 9783036568386 222 Basel open access |
| spellingShingle | 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 thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKJ Neurology and clinical neurophysiology 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 |
| title_full | Explainable Artificial Intelligence in Stroke from the Clinical, Rehabilitation and Nursing Perspectives |
| title_fullStr | Explainable Artificial Intelligence in Stroke from the Clinical, Rehabilitation and Nursing Perspectives |
| title_full_unstemmed | Explainable Artificial Intelligence in Stroke from the Clinical, Rehabilitation and Nursing Perspectives |
| title_short | Explainable Artificial Intelligence in Stroke from the Clinical, Rehabilitation and Nursing Perspectives |
| title_sort | explainable artificial intelligence in stroke from the clinical rehabilitation and nursing perspectives |
| topic | 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 thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKJ Neurology and clinical neurophysiology |
| topic_facet | 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 thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKJ Neurology and clinical neurophysiology |
| url | ONIX_20230405_9783036568393_115 |