Embedded System For Biomedical Application
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Embedded System for Biomedical Application
This book is an essential guide to the constantly changing environment of embedded systems in healthcare in a world where the convergence of technology and healthcare is becoming increasingly important. It further explains different scenarios corresponding to the latest technologies in the healthcare system for early diagnosis, enhanced treatment, and cure of diseases, including remote patient monitoring, cardiac monitoring, and deep learning for remediation. Features: * Emphasizes how embedded systems contribute to clinical care by facilitating personalized treatment and informed decision-making for healthcare professionals. * Highlights the role of embedded systems in tracking treatment progress, enabling healthcare professionals to monitor patient responses and adjust treatment plans accordingly. * Explores the application of embedded systems in remote patient monitoring, allowing for continuous health monitoring outside traditional healthcare settings. * Presents the integration of deep learning and telecommunication technology with embedded systems, optimizing their efficiency and utilization in biomedical applications. * Offers insights into future prospects for advancing biomedical applications through embedded systems, providing a roadmap for further innovation and development in the field. This reference work is useful for scholars and professionals interested in the applications and optimization of emerging smart technologies in the field of healthcare.
Embedded Systems for Biomedical Applications
This book is an essential guide to the constantly changing environment of embedded systems in healthcare in a world where the convergence of technology and healthcare is becoming increasingly important. It further explains different scenarios corresponding to the latest technologies in the healthcare system for early diagnosis, enhanced treatment, and cure of diseases, including remote patient monitoring, cardiac monitoring, and deep learning for remediation. Features: • Emphasizes how embedded systems contribute to clinical care by facilitating personalized treatment and informed decision-making for healthcare professionals. • Highlights the role of embedded systems in tracking treatment progress, enabling healthcare professionals to monitor patient responses and adjust treatment plans accordingly. • Explores the application of embedded systems in remote patient monitoring, allowing for continuous health monitoring outside traditional healthcare settings. • Presents the integration of deep learning and telecommunication technology with embedded systems, optimizing their efficiency and utilization in biomedical applications. • Offers insights into future prospects for advancing biomedical applications through embedded systems, providing a roadmap for further innovation and development in the field. This reference work is useful for scholars and professionals interested in the applications and optimization of emerging smart technologies in the field of healthcare.
Embedded System Design: Topics, Techniques and Trends
Author: Achim Rettberg
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-06-01
This volume presents the technical program of the 2007 International Embedded Systems Symposium held in Irvine, California. It covers timely topics, techniques and trends in embedded system design, including design methodology, networks-on-chip, distributed and networked systems, and system verification. It places emphasis on automotive and medical applications and includes case studies and special aspects in embedded system design.