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Deep Learning in Smart eHealth Systems
ISBN-13:
9783031450037
Veröffentl:
2023
Seiten:
94
Autor:
Asma Channa
Serie:
SpringerBriefs in Computer Science
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:
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.
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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