Deep Learning in Smart eHealth Systems: Evaluation Leveraging for Parkinson's Di

Description: Deep Learning in Smart eHealth Systems by Asma Channa, Nirvana Popescu Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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 Parkinsons disease patients. Publisher Description 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 Parkinsons 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 Parkinsons 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 Parkinsons 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 Parkinsons 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. Author Biography Asma Channa has recently achieved a Double Ph.D. in Computers and Information Technology. She obtained her Masters degree in Electronic Systems Engineering from Mehran University of Engineering and Technology, Jamshoro, Pakistan in 2018, and her Bachelors degree in Electronics from the same institution in 2015. Her academic pursuits have culminated in a dual doctoral endeavor pursued at the University Politehnica of Bucharest, Romania, and Mediterranea University of Reggio Calabria, Italy. Distinguished as a Marie Skodowska-Curie Fellow in the prestigious European project A-WEAR, Dr. Channa has made substantial contributions to the fields of wearable technology, eHealth, biomedical signal processing, and artificial intelligence. Her achievements underscore a profound dedication to interdisciplinary research, manifesting her commitment to advancing the frontiers of knowledge at the crossroads of technology and healthcare. With her foundation rooted in extensive academic accomplishments, she remains steadfast in pushing the boundaries of innovation and delivering impactful contributions to the field.Nirvana Popescu is full professor at University POLITEHNICA of Bucharest (UPB), Computer Science Department, since 2014. She received her Bachelor of Engineering in 1998 at UPB, Computer Science Department, followed by M.Sc at the same department. In 2003, she received her PhD in Computer Science with a thesis titled "Self-organizing intelligent fuzzy systems", at UPB. Meanwhile she worked and studied as PhD guest student at the University of Bielefeld, Germany. Her main research interests are neural networks, intelligent systems, fuzzy logic and control, eHealth systems, cognitive and autonomous robots, reconfigurable computers. At UPB, she is the leader of the Laboratory for "Reconfigurable high-confidence medical devices" and she coordinated research projects in the field of Medical Rehabilitation Robotics and Medical Wearable Sensors. Details ISBN 3031450027 ISBN-13 9783031450020 Title Deep Learning in Smart eHealth Systems Author Asma Channa, Nirvana Popescu Format Paperback Year 2023 Pages 94 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:159935533; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. 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