04253nam a22006015i 4500 978-3-031-45003-7 DE-He213 20251030110830.0 cr nn 008mamaa 231105s2024 sz | s |||| 0|eng d 9783031450037 978-3-031-45003-7 10.1007/978-3-031-45003-7 doi Q325.5-.7 UYQM bicssc MAT029000 bisacsh UYQM thema Channa, Asma. author. aut http://id.loc.gov/vocabulary/relators/aut 67029 Deep Learning in Smart eHealth Systems [electronic resource] : Evaluation Leveraging for Parkinson’s Disease / by Asma Channa, Nirvana Popescu. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XIII, 94 p. 35 illus., 33 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda SpringerBriefs in Computer Science, 2191-5776 Unraveling Parkinson’s Disease: Diagnostic Challenges and Severity Assessment -- State-of-the-Art: Wearable Devices and Deep Learning Techniques for Parkinson’s Disease -- Design and Engineering of a Medical Wearable Device for Parkinson’s Disease Management -- Deep Learning Models for Parkinson’s Disease Severity Evaluation -- Transforming Parkinson’s Disease Care: Cloud Service Empowered by ServiceNow Technology -- Predicting Wearing-Off Episodes in Parkinson’s with Multimodal Machine Learning -- Enhancing Gait Analysis Through Wearable Insoles and Deep Learning Techniques -- Conclusion and Prospects for Further Development. 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. Machine learning. 55059 Medical informatics. 60693 Cloud Computing. 58386 Computer science. 58552 Image processing Digital techniques. 64228 Computer vision. Machine Learning. 55059 Health Informatics. Cloud Computing. 58386 Theory and Algorithms for Application Domains. 67030 Computer Imaging, Vision, Pattern Recognition and Graphics. 65550 Popescu, Nirvana. author. aut http://id.loc.gov/vocabulary/relators/aut 4796 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031450020 Printed edition: 9783031450044 SpringerBriefs in Computer Science, 2191-5776 66578 https://doi.org/10.1007/978-3-031-45003-7 ZDB-2-SCS ZDB-2-SXCS 56508 56508