Evaluation Leveraging for Parkinson’s Disease Channa, Asma. creator author. aut http://id.loc.gov/vocabulary/relators/aut Popescu, Nirvana. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XIII, 94 p. 35 illus., 33 illus. in color. online resource. 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. 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. by Asma Channa, Nirvana Popescu. Machine learning Medical informatics Cloud Computing Computer science Image processing Digital techniques Computer vision Machine Learning Health Informatics Cloud Computing Theory and Algorithms for Application Domains Computer Imaging, Vision, Pattern Recognition and Graphics Q325.5-.7 9783031450037 https://doi.org/10.1007/978-3-031-45003-7 https://doi.org/10.1007/978-3-031-45003-7 231105 20251030110830.0 978-3-031-45003-7