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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.
Produkteigenschaften
- Artikelnummer: 9783031450020
- Medium: Buch
- ISBN: 978-3-031-45002-0
- Verlag: Springer Nature Switzerland
- Erscheinungstermin: 06.11.2023
- Sprache(n): Englisch
- Auflage: 1. Auflage 2024
- Serie: SpringerBriefs in Computer Science
- Produktform: Kartoniert, Paperback
- Gewicht: 197 g
- Seiten: 94
- Format (B x H x T): 155 x 235 x 6 mm
- Ausgabetyp: Kein, Unbekannt