國立高雄大學圖資館 |

Language: English

Back

Deep learning in smart eHealth systemsevaluation leveraging for Parkinson's disease /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deep learning in smart eHealth systemsby Asma Channa, Nirvana Popescu.
Reminder of title:	evaluation leveraging for Parkinson's disease /
Author:	Channa, Asma.
other author:	Popescu, Nirvana.
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xiii, 94 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Parkinson's disease.
Online resource:	https://doi.org/10.1007/978-3-031-45003-7
ISBN:	9783031450037$q(electronic bk.)

Deep learning in smart eHealth systemsevaluation leveraging for Parkinson's disease /
Channa, Asma.

Deep learning in smart eHealth systemsevaluation leveraging for Parkinson's disease /[electronic resource] :by Asma Channa, Nirvana Popescu. - Cham :Springer Nature Switzerland :2024. - xiii, 94 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in computer science,2191-5776. - SpringerBriefs in computer science..

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.

ISBN: 9783031450037$q(electronic bk.)

Standard No.: 10.1007/978-3-031-45003-7doiSubjects--Topical Terms:

302415
Parkinson's disease.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

Deep learning in smart eHealth systemsevaluation leveraging for Parkinson's disease /
LDR:03019nmm a2200337 a 4500 001 660431
003 DE-He213
005 20231105130502.0
006 m d
007 cr nn 008maaau
008 241106s2024 sz s 0 eng d
020 $a 9783031450037$q(electronic bk.)
020 $a 9783031450020$q(paper)
024 7 $a 10.1007/978-3-031-45003-7 $2 doi
035 $a 978-3-031-45003-7
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.A78
072 7 $a UYQM $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQM $2 thema
082 0 4 $a 610.28563 $2 23
090 $a R859.7.A78 $b C458 2024
100 1 $a Channa, Asma. $3 971765
245 1 0 $a Deep learning in smart eHealth systems $h [electronic resource] : $b evaluation leveraging for Parkinson's disease / $c by Asma Channa, Nirvana Popescu.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xiii, 94 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5776
505 0 $a 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.
520 $a 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.
650 0 $a Parkinson's disease. $3 302415
650 0 $a Artificial intelligence $x Medical applications. $3 237917
650 0 $a Wearable technology $x Medical applications. $3 971767
650 0 $a Machine learning. $3 188639
650 2 4 $a Health Informatics. $3 274212
650 2 4 $a Cloud Computing. $3 777671
650 2 4 $a Theory and Algorithms for Application Domains. $3 921479
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
700 1 $a Popescu, Nirvana. $3 971766
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in computer science. $3 559641
856 4 0 $u https://doi.org/10.1007/978-3-031-45003-7
950 $a Computer Science (SpringerNature-11645)