Deep Learning in Smart eHealth Systems Evaluation Leveraging for Parkinson’s Disease /
One of the main benefits of this book is that it presents a comprehensive and innovative eHealth framework that leverages deep learning and IoT wearable devices for the evaluation of Parkinson's disease patients. This framework offers a new way to assess and monitor patients' motor deficit...
Wedi'i Gadw mewn:
| Prif Awduron: | , |
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| Awdur Corfforaethol: | |
| Fformat: | Electronig eLyfr |
| Iaith: | Saesneg |
| Cyhoeddwyd: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Rhifyn: | 1st ed. 2024. |
| Cyfres: | SpringerBriefs in Computer Science,
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| Pynciau: | |
| Mynediad Ar-lein: | https://doi.org/10.1007/978-3-031-45003-7 |
| Tagiau: |
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| Crynodeb: | One of the main benefits of this book is that it presents a comprehensive and innovative eHealth framework that leverages deep learning and IoT wearable devices for the evaluation of Parkinson's disease patients. This framework offers a new way to assess and monitor patients' motor deficits in a personalized and automated way, improving the efficiency and accuracy of diagnosis and treatment. Compared to other books on eHealth and Parkinson's disease, this book offers a unique perspective and solution to the challenges facing patients and healthcare providers. It combines state-of-the-art technology, such as wearable devices and deep learning algorithms, with clinical expertise to develop a personalized and efficient evaluation framework for Parkinson's disease patients. This book provides a roadmap for the integration of cutting-edge technology into clinical practice, paving the way for more effective and patient-centered healthcare. To understand this book, readers should have a basic knowledge of eHealth, IoT, deep learning, and Parkinson's disease. However, the book provides clear explanations and examples to make the content accessible to a wider audience, including researchers, practitioners, and students interested in the intersection of technology and healthcare. |
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| Disgrifiad Corfforoll: | 1 online resource (XIII, 94 p. 35 illus.). 33 illus. in color. |
| ISBN: | 9783031450037 |
| ISSN: | 2191-5776 |
| DOI: | 10.1007/978-3-031-45003-7 |