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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...

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Bibliographische Detailangaben
Hauptverfasser: Channa, Asma (VerfasserIn), Popescu, Nirvana (VerfasserIn)
Körperschaft: SpringerLink (Online service)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Ausgabe:1st ed. 2024.
Schriftenreihe:SpringerBriefs in Computer Science,
Schlagworte:
Machine learning.
Medical informatics.
Cloud Computing.
Computer science.
Image processing > Digital techniques.
Computer vision.
Machine Learning.
Health Informatics.
Theory and Algorithms for Application Domains.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Online-Zugang:https://doi.org/10.1007/978-3-031-45003-7
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Inhaltsangabe:
  • 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.

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