书目名称 | Deep Learning in Smart eHealth Systems | 副标题 | Evaluation Leveragin | 编辑 | Asma Channa,Nirvana Popescu | 视频video | | 概述 | Combines state-of-the-art technology with clinical expertise to develop a personalized and efficient evaluation.Presents a new eHealth framework using Deep Learning and IoT wearable devices to assess | 丛书名称 | SpringerBriefs in Computer Science | 图书封面 |  | 描述 | .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 researcher | 出版日期 | Book 2024 | 关键词 | A-WEAR Bracelet; Cloud Platform; Continuous Wavelet Transform; Convolutional Neural Network; Deep Learni | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-45003-7 | isbn_softcover | 978-3-031-45002-0 | isbn_ebook | 978-3-031-45003-7Series ISSN 2191-5768 Series E-ISSN 2191-5776 | issn_series | 2191-5768 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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