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Presenting a detailed framework as well as comparative case studies for security protection, data integrity, privacy preservation, scalability, and healthcare legislation, this book covers state of the art research and addresses privacy and security methods and technologies for EHRs.
This book focuses on recent advances and future trends in the methods and applications of technologies that are used in neuroscience for the evaluation, diagnosis and treatment of neurological diseases and conditions or for the improvement of quality of life.
This book provides a snapshot of the state of current research at the interface between machine learning and healthcare with special emphasis on machine learning projects that are (or are close to) achieving improvement in patient outcomes.
Written by a range of researchers and practitioners in the field of IoT, data mining, and machine learning, this edited book provides a systemic review of trends, challenges and future directions of IoMT enabling technologies, such as machine learning, wireless communications, and network security.
This book discusses electromagnetic waves and antennas used as diagnostic tools and therapeutic techniques for applications in cancer detection, stroke event detection, GI diagnostics, and cardiovascular risk predictions. It discusses electromagnetic devices, wireless implants, and in vitro and in vivo testing.
This book presents a discussion of evolving digital technologies, such as smart phones, assisted living, and innovative digitally based services that are helping to deliver quality, cost-effective and widely accessible healthcare for the elderly.
In this title, a team of top experts address cyber security for e-Health technologies and systems. It examines the need for better security and privacy infrastructure, outlining methods and policies for working with sensitive data.
This book focuses on high-confidence medical software in the growing field of e-health, telecare services and health technology. It covers the development of methodologies and engineering tasks together with standards and regulations for medical software.
This book focuses on the feature extraction methods used in Electroencephalographic (EEG) signal processing. It presents state-of-the-art aspects of EEG interpretation and the value of EEG; gives practical tips on interpretation and covers specific areas where EEG is most useful.
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