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Author: Mahdi Pedram
Publisher:
ISBN:
Category : Patient monitoring
Languages : en
Pages : 220
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Book Description
Recent advances in microelectronics, signal processing, Artificial Intelligence (AI), and wireless communication provide the foundation to transition from conventional in-clinic healthcare to remote health monitoring and clinical interventions. Much effort is being undertaken by the research community to design sensor-based systems such as wearables and mobile devices that provide remote monitoring capabilities for pervasive health. These embedded systems aim to enhance self-care, for example, in patients with chronic conditions such as dementia, heart failure, and diabetes. Despite the potentials, the feasibility of deploying these systems outside laboratory settings is not well established to date. An important factor limiting the large-scale adoption of remote monitoring systems is that these systems are quite resource-constrained in terms of energy capacity, memory storage, and compute power. This research aims to offer new solutions toward designing efficient embedded systems in terms of resource utilization, such as power consumption and memory usage for use in remote health monitoring. This dissertation focuses on resource efficiency from a computational perspective. It first presents a case study focused on tracking fluid intake to investigate system requirements and discover specific system properties that allow designing new techniques for improved resource efficiency. With the lessons learned from this case study, this research offers two approaches for resource-efficient system design. The first approach is a probabilistic cascading classification framework that dynamically adjusts the sampling frequency according to the learning task's complexity. In addition to adaptive sampling, the proposed framework leverages the probability of occurrence of the events to more frequently activate the machine learning module that monitors more likely events. Each machine learning module in the cascading architecture is activated by a predecessor module in the processing chain. The second approach to resource-efficient design is a classification algorithm for real-time and memory-efficient health monitoring. To this end, a hierarchical binary classification method is proposed that considers the occurrence probability of each event and constructs a decision tree that is optimized in terms of the overall depth. All the methods proposed in this research are evaluated using real data collected with wearable sensors and mobile devices.
Author: Mahdi Pedram
Publisher:
ISBN:
Category : Patient monitoring
Languages : en
Pages : 220
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Book Description
Recent advances in microelectronics, signal processing, Artificial Intelligence (AI), and wireless communication provide the foundation to transition from conventional in-clinic healthcare to remote health monitoring and clinical interventions. Much effort is being undertaken by the research community to design sensor-based systems such as wearables and mobile devices that provide remote monitoring capabilities for pervasive health. These embedded systems aim to enhance self-care, for example, in patients with chronic conditions such as dementia, heart failure, and diabetes. Despite the potentials, the feasibility of deploying these systems outside laboratory settings is not well established to date. An important factor limiting the large-scale adoption of remote monitoring systems is that these systems are quite resource-constrained in terms of energy capacity, memory storage, and compute power. This research aims to offer new solutions toward designing efficient embedded systems in terms of resource utilization, such as power consumption and memory usage for use in remote health monitoring. This dissertation focuses on resource efficiency from a computational perspective. It first presents a case study focused on tracking fluid intake to investigate system requirements and discover specific system properties that allow designing new techniques for improved resource efficiency. With the lessons learned from this case study, this research offers two approaches for resource-efficient system design. The first approach is a probabilistic cascading classification framework that dynamically adjusts the sampling frequency according to the learning task's complexity. In addition to adaptive sampling, the proposed framework leverages the probability of occurrence of the events to more frequently activate the machine learning module that monitors more likely events. Each machine learning module in the cascading architecture is activated by a predecessor module in the processing chain. The second approach to resource-efficient design is a classification algorithm for real-time and memory-efficient health monitoring. To this end, a hierarchical binary classification method is proposed that considers the occurrence probability of each event and constructs a decision tree that is optimized in terms of the overall depth. All the methods proposed in this research are evaluated using real data collected with wearable sensors and mobile devices.
Author: Qi Li
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Recent surveys on medical service systems show that the cost of patient monitoring has grown significantly. The widespread use of portable digital medical device makes it possible to provide a more comprehensive tracking of patient conditions. However, the development of a full scale, distributed health monitoring system is much delayed due to the lack of efficient wireless communication in a large distributed network. This becomes a challenging research topic which is to find a way to provide accurate and real time patient information to medical experts in a fast, efficient and cost effective fashion. This paper proposes a novel solution on building a system which links patients and doctors together using embedded system technology and wireless sensor network. The content presented in this thesis introduces the design and implement of such a system.
Author: Tim Wilmshurst
Publisher: Elsevier
ISBN: 0080977693
Category : Technology & Engineering
Languages : en
Pages : 400
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Book Description
Fast and Effective Embedded Systems Design is a fast-moving introduction to embedded system design, applying the innovative ARM mbed and its web-based development environment. Each chapter introduces a major topic in embedded systems, and proceeds as a series of practical experiments, adopting a "learning through doing" strategy. Minimal background knowledge is needed. C/C++ programming is applied, with a step-by-step approach which allows the novice to get coding quickly. Once the basics are covered, the book progresses to some "hot" embedded issues – intelligent instrumentation, networked systems, closed loop control, and digital signal processing. Written by two experts in the field, this book reflects on the experimental results, develops and matches theory to practice, evaluates the strengths and weaknesses of the technology or technique introduced, and considers applications and the wider context. Numerous exercises and end of chapter questions are included. A hands-on introduction to the field of embedded systems, with a focus on fast prototyping Key embedded system concepts covered through simple and effective experimentation Amazing breadth of coverage, from simple digital i/o, to advanced networking and control Applies the most accessible tools available in the embedded world Supported by mbed and book web sites, containing FAQs and all code examples Deep insights into ARM technology, and aspects of microcontroller architecture Instructor support available, including power point slides, and solutions to questions and exercises
Author: Arun Sinha
Publisher: CRC Press
ISBN: 1003810357
Category : Technology & Engineering
Languages : en
Pages : 297
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Book Description
"Smart Embedded Systems: Advances and Applications" is a comprehensive guide that demystifies the complex world of embedded technology. The book journeys through a wide range of topics from healthcare to energy management, autonomous robotics, and wireless communication, showcasing the transformative potential of intelligent embedded systems in these fields. This concise volume introduces readers to innovative techniques and their practical applications, offers a comparative analysis of wireless protocols, and provides efficient resource allocation strategies in IoT-based ecosystems. With real-world examples and in-depth case studies, it serves as an invaluable resource for students and professionals seeking to harness the power of embedded technology to shape our digital future. Salient Features: 1. The book provides a comprehensive coverage of various aspects of smart embedded systems, exploring their design, implementation, optimization, and a range of applications. This is further enhanced by in-depth discussions on hardware and software optimizations aimed at improving overall system performance. 2. A detailed examination of machine learning techniques specifically tailored for data analysis and prediction within embedded systems. This complements the exploration of cutting-edge research on the use of AI to enhance wireless communications. 3. Real-world applications of these technologies are extensively discussed, with a focus on areas such as seizure detection, noise reduction, health monitoring, diabetic care, autonomous vehicles, and communication systems. This includes a deep-dive into different wireless protocols utilized for data transfer in IoT systems. 4. This book highlights key IoT technologies and their myriad applications, extending from environmental data collection to health monitoring. This is underscored by case studies on the integration of AI and IoT in healthcare, spanning topics from anomaly detection to informed clinical decision-making. Also featured is a detailed evaluation and comparison of different system implementations and methodologies. This book is an essential read for anyone interested in the field of embedded systems. Whether you're a student looking to broaden your knowledge base, researchers looking in-depth insights, or professionals planning to use this cutting-edge technology in real-world applications, this book offers a thorough grounding in the subject.
Author: Marcus T. Schmitz
Publisher: Springer
ISBN: 0306487365
Category : Computers
Languages : en
Pages : 194
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Book Description
System-Level Design Techniques for Energy-Efficient Embedded Systems addresses the development and validation of co-synthesis techniques that allow an effective design of embedded systems with low energy dissipation. The book provides an overview of a system-level co-design flow, illustrating through examples how system performance is influenced at various steps of the flow including allocation, mapping, and scheduling. The book places special emphasis upon system-level co-synthesis techniques for architectures that contain voltage scalable processors, which can dynamically trade off between computational performance and power consumption. Throughout the book, the introduced co-synthesis techniques, which target both single-mode systems and emerging multi-mode applications, are applied to numerous benchmarks and real-life examples including a realistic smart phone.
Author: Peter Marwedel
Publisher: Springer Nature
ISBN: 3030609103
Category : Technology & Engineering
Languages : en
Pages : 446
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Book Description
A unique feature of this open access textbook is to provide a comprehensive introduction to the fundamental knowledge in embedded systems, with applications in cyber-physical systems and the Internet of things. It starts with an introduction to the field and a survey of specification models and languages for embedded and cyber-physical systems. It provides a brief overview of hardware devices used for such systems and presents the essentials of system software for embedded systems, including real-time operating systems. The author also discusses evaluation and validation techniques for embedded systems and provides an overview of techniques for mapping applications to execution platforms, including multi-core platforms. Embedded systems have to operate under tight constraints and, hence, the book also contains a selected set of optimization techniques, including software optimization techniques. The book closes with a brief survey on testing. This fourth edition has been updated and revised to reflect new trends and technologies, such as the importance of cyber-physical systems (CPS) and the Internet of things (IoT), the evolution of single-core processors to multi-core processors, and the increased importance of energy efficiency and thermal issues.
Author: Peter Marwedel
Publisher: Springer Science & Business Media
ISBN: 9400702574
Category : Technology & Engineering
Languages : en
Pages : 400
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Book Description
Until the late 1980s, information processing was associated with large mainframe computers and huge tape drives. During the 1990s, this trend shifted toward information processing with personal computers, or PCs. The trend toward miniaturization continues and in the future the majority of information processing systems will be small mobile computers, many of which will be embedded into larger products and interfaced to the physical environment. Hence, these kinds of systems are called embedded systems. Embedded systems together with their physical environment are called cyber-physical systems. Examples include systems such as transportation and fabrication equipment. It is expected that the total market volume of embedded systems will be significantly larger than that of traditional information processing systems such as PCs and mainframes. Embedded systems share a number of common characteristics. For example, they must be dependable, efficient, meet real-time constraints and require customized user interfaces (instead of generic keyboard and mouse interfaces). Therefore, it makes sense to consider common principles of embedded system design. Embedded System Design starts with an introduction into the area and a survey of specification models and languages for embedded and cyber-physical systems. It provides a brief overview of hardware devices used for such systems and presents the essentials of system software for embedded systems, like real-time operating systems. The book also discusses evaluation and validation techniques for embedded systems. Furthermore, the book presents an overview of techniques for mapping applications to execution platforms. Due to the importance of resource efficiency, the book also contains a selected set of optimization techniques for embedded systems, including special compilation techniques. The book closes with a brief survey on testing. Embedded System Design can be used as a text book for courses on embedded systems and as a source which provides pointers to relevant material in the area for PhD students and teachers. It assumes a basic knowledge of information processing hardware and software. Courseware related to this book is available at http://ls12-www.cs.tu-dortmund.de/~marwedel.
Author: Ajay M. Cheriyan
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
With the tremendous advancements in low cost, power-efficient hardware and the recent interest in biomedical embedded systems, numerous traditional biomedical systems can be replaced with smaller and faster embedded systems that perform real-time analysis to provide bio-feedback to the users. This thesis takes a look at two hardware implementations 0́3 one using commercial off-the-shelf (COTS) components and the other using field programmable logic. The focus of the design was to ensure a portable, inexpensive, power-efficient and robust device that could perform analysis of physiological signals, which would in turn help alert the user in the event of an abnormality. The COTS hardware implementation provided the framework using a microcontroller as the processing element for a reliable health monitoring device with a seizure detection directly embedded in it. The field programmable gate array (FPGA) platform based implementation was proposed and simulated to overcome the two disadvantages of the COTS approach 0́3 the inability to support customization of the device to suit the end-user0́9s monitoring requirements and complex detection schemes requiring significant processing capability. The FPGA platform was simulated first as a standalone module and later as part of an SoC design. The novel algorithm included a feature extraction phase and a machine learning based seizure detection phase. Simulation based testing of the device showed a detection accuracy of 99.2 %.
Author: Tim Wilmshurst
Publisher: Elsevier
ISBN: 0323951988
Category : Technology & Engineering
Languages : en
Pages : 569
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Book Description
Fast and Effective Embedded Systems Design, Third Edition is a fast-moving introduction to embedded systems design, applying the innovative Arm mbed “ecosystem,” including both hardware components and its web-based development environment. Minimal background knowledge is needed to start. Each chapter introduces a major topic in embedded systems and proceeds as a series of practical experiments. A "learning through doing" strategy is adopted, with the underlying theory being introduced alongside. C/C++ programming is applied, with a step-by-step approach which allows you to get coding quickly. Once the basics are covered, the book progresses to some hot embedded topics – intelligent instrumentation, Bluetooth LE, Zigbee, real-time programming, and the Internet of Things. In this new edition all code is refreshed to match the new mbed operating system, and much new code is introduced. The principles of real-time operating systems are explained, and the capabilities of the mbed RTOS are clearly demonstrated. This third edition will readily form the basis of introductory and intermediate university or college courses in embedded systems. · Provides a hands-on introduction to the field of embedded systems, covering key concepts through simple and effective experimentation · Features a wide range of coverage, from simple digital input/output to advanced networking and intelligent instrumentation · Includes a new chapter on the Real-Time Operating System, with numerous examples · Introduces two new chapters on the Internet of Things, with a major example project linking sensors through to the cloud · Presents in-depth exploration of internal microcontroller features, leading to an understanding of configuration options and power supply optimization
Author: Fu-Kuo Chang
Publisher: DEStech Publications, Inc
ISBN: 160595053X
Category : Technology & Engineering
Languages : en
Pages : 1397
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Book Description
This 2-volume set of books, comprising over 2,700 total pages, presents 325 fully original presentations on recent advances in structural health monitoring, as applied to commercial and military aircraft (manned and unmanned), high-rise buildings, wind turbines, civil infrastructure, power plants and ships. One general theme of the books is how SHM can be used for condition-based maintenance, with the goal of developing prediction-based systems, designed to save money over the life of vehicles and structures. A second theme centers on technologies for developing systems comprising sensors, diagnostic data and decision-making, with a focus on intelligent materials able to respond to damage and in some cases repair it. Finally the books discuss the relation among data, data interpretation and decision-making in managing a wide variety of complex structures and vehicles. More recent technologies discussed in the books include SHM and environmental effects, energy harvesting, non-contact sensing, and intelligent networks.Material in these books was first presented in September, 2011 at a conference held at Stanford University and sponsored by the Air Force Office of Scientific Research, the Army Research Office, the Office of Naval Research and the National Science Foundation. Some of the highlights of the books include: SHM technologies for condition-based maintenance (CBM) and predictive maintenance Verification, validation, qualification, data mining, prognostics systems for decision-making Structural health, sensing and materials in closed-loop intelligent networks Military and aerospace, bioinspired sensors, wind turbines, monitoring with MEMS, damage sensing, hot spot monitoring, SHM and ships, high-rise structures Includes a fully-searchable CD-ROM displaying many figures and charts in full color
