Ultra Low Power Ecg Processing System For Iot Devices

Author : Temesghen Tekeste Habte,Hani Saleh,Baker Mohammad,Mohammed Ismail
Publisher : Springer
Page : 94 pages
File Size : 45,8 Mb
Release : 2018-09-06
Category : Technology & Engineering
ISBN : 9783319970165

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Ultra Low Power ECG Processing System for IoT Devices by Temesghen Tekeste Habte,Hani Saleh,Baker Mohammad,Mohammed Ismail Pdf

​This book describes an ECG processing architecture that guides biomedical SoC developers, from theory to implementation and testing. The authors provide complete coverage of the digital circuit implementation of an ultra-low power biomedical SoC, comprised of a detailed description of an ECG processor implemented and fabricated on chip. Coverage also includes the challenges and tradeoffs of designing ECG processors. Describes digital circuit architecture for implementing ECG processing algorithms on chip; Includes coverage of signal processing techniques for ECG processing; Features ultra-low power circuit design techniques; Enables design of ECG processing architectures and their respective on-chip implementation.

Author : Vinay Rishiwal,Pramod Kumar,Anuradha Tomar,Priyan Malarvizhi Kumar
Publisher : Springer Nature
Page : 164 pages
File Size : 44,9 Mb
Release : 2023-10-23
Category : Technology & Engineering
ISBN : 9789819960347

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Towards the Integration of IoT, Cloud and Big Data by Vinay Rishiwal,Pramod Kumar,Anuradha Tomar,Priyan Malarvizhi Kumar Pdf

This book discusses integration of internet of things (IoT), cloud computing, and big data. It presents a unique platform where IoT, cloud computing, and big data are fused together and can be foreseen as a perfect solution to many applications. Usually, IoT, cloud computing, and big data are researched separately on the basis of their properties, underlying technologies, and other open issues. Integration of IoT, cloud computing and big data is not that easy and can face key open issues like standardization of interfaces, power and energy efficiency in both data processing and transmission, security and privacy, storage mechanisms for future applications, scalability and flexibility, and QoS provisioning for end user applications. Integration of IoT, cloud computing, and big data represents the next big rise for future industry and business applications. This integration opens new exhilarating directions for research and it is discussed in this book.

Author : Singh, Surjit,Mohan Sharma, Rajeev
Publisher : IGI Global
Page : 563 pages
File Size : 45,7 Mb
Release : 2019-03-29
Category : Computers
ISBN : 9781522573364

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Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization by Singh, Surjit,Mohan Sharma, Rajeev Pdf

ICT technologies have contributed to the advances in wireless systems, which provide seamless connectivity for worldwide communication. The growth of interconnected devices and the need to store, manage, and process the data from them has led to increased research on the intersection of the internet of things and cloud computing. The Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization is a pivotal reference source that provides the latest research findings and solutions for the design and augmentation of wireless systems and cloud computing. The content within this publication examines data mining, machine learning, and software engineering, and is designed for IT specialists, software engineers, researchers, academicians, industry professionals, and students.

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 719 pages
File Size : 43,9 Mb
Release : 2022-04-01
Category : Computers
ISBN : 9781668457016

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Research Anthology on Edge Computing Protocols, Applications, and Integration by Management Association, Information Resources Pdf

Edge computing is quickly becoming an important technology throughout a number of fields as businesses and industries alike embrace the benefits it can have in their companies. The streamlining of data is crucial for the development and evolution of businesses in order to keep up with competition and improve functions overall. In order to appropriately utilize edge computing to its full potential, further study is required to examine the potential pitfalls and opportunities of this innovative technology. The Research Anthology on Edge Computing Protocols, Applications, and Integration establishes critical research on the current uses, innovations, and challenges of edge computing across disciplines. The text highlights the history of edge computing and how it has been adapted over time to improve industries. Covering a range of topics such as bandwidth, data centers, and security, this major reference work is ideal for industry professionals, computer scientists, engineers, practitioners, researchers, academicians, scholars, instructors, and students.

Author : Yassine Maleh,Lo’ai Tawalbeh,Saad Motahhir,Abdelhakim Senhaji Hafid
Publisher : Springer Nature
Page : 347 pages
File Size : 42,6 Mb
Release : 2022-04-01
Category : Technology & Engineering
ISBN : 9783030936464

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Advances in Blockchain Technology for Cyber Physical Systems by Yassine Maleh,Lo’ai Tawalbeh,Saad Motahhir,Abdelhakim Senhaji Hafid Pdf

The Cyber-Physical System (CPS) relates to many other popularized technologies such as Internet of Things (IoT, IIoT), Machine-to-Machine (M2M), Industry 4.0, which describe a vision of connected creations that deeply unite the physical and information domains. As a revolutionary technology, Blockchain (BC) provides a practical solution to enable a secure and decentralized public ledger that a huge plethora of exciting new technology applications in several areas, such as the Internet of Things (IoT), Cyber-Physical Systems, Manufacturing, Supply-Chain, etc. Blockchain technology has infiltrated all areas of our lives, from manufacturing to healthcare and beyond. In this context, this book helps discover the various potential applications that could be fruitful for cyber-physical system applications. It provides a sampling of recent advances and ideas on research progress and the practical usage of blockchain technologies in addressing cyber-physical systems challenges and issues. It provides a sampling of recent advances and views on research progress and the practical usage of blockchain technologies in addressing cyber-physical systems challenges and issues.

Author : Keshav Kaushik
Publisher : Springer Nature
Page : 473 pages
File Size : 53,9 Mb
Release : 2024-06-11
Category : Electronic
ISBN : 9789819712496

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Next-Generation Cybersecurity by Keshav Kaushik Pdf

Author : Sandro Augusto Pavlik Haddad,Wouter A. Serdijn
Publisher : Springer Science & Business Media
Page : 221 pages
File Size : 51,5 Mb
Release : 2009-05-26
Category : Technology & Engineering
ISBN : 9781402090738

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Ultra Low-Power Biomedical Signal Processing by Sandro Augusto Pavlik Haddad,Wouter A. Serdijn Pdf

Often WT systems employ the discrete wavelet transform, implemented on a digital signal processor. However, in ultra low-power applications such as biomedical implantable devices, it is not suitable to implement the WT by means of digital circuitry due to the relatively high power consumption associated with the required A/D converter. Low-power analog realization of the wavelet transform enables its application in vivo, e.g. in pacemakers, where the wavelet transform provides a means to extremely reliable cardiac signal detection. In Ultra Low-Power Biomedical Signal Processing we present a novel method for implementing signal processing based on WT in an analog way. The methodology presented focuses on the development of ultra low-power analog integrated circuits that implement the required signal processing, taking into account the limitations imposed by an implantable device.

Author : Patrick Schneider,Fatos Xhafa
Publisher : Academic Press
Page : 408 pages
File Size : 40,5 Mb
Release : 2022-01-07
Category : Computers
ISBN : 9780128238196

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Anomaly Detection and Complex Event Processing Over IoT Data Streams by Patrick Schneider,Fatos Xhafa Pdf

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented –the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms. The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing. Provides the state-of-the-art in IoT Data Stream Processing, Semantic Data Enrichment, Reasoning and Knowledge Covers extraction (Anomaly Detection) Illustrates new, scalable and reliable processing techniques based on IoT stream technologies Offers applications to new, real-time anomaly detection scenarios in the health domain

Author : Sascha Ossowski,Pawel Sitek,Cesar Analide,Goreti Marreiros,Pablo Chamoso,Sara Rodríguez
Publisher : Springer Nature
Page : 387 pages
File Size : 43,8 Mb
Release : 2023-07-20
Category : Technology & Engineering
ISBN : 9783031383335

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Distributed Computing and Artificial Intelligence, 20th International Conference by Sascha Ossowski,Pawel Sitek,Cesar Analide,Goreti Marreiros,Pablo Chamoso,Sara Rodríguez Pdf

The present book brings together experience, current work, and promising future trends associated with distributed computing, artificial intelligence, and their application in order to provide efficient solutions to real problems. DCAI 2023 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 108 papers were submitted, by authors from 31 different countries representing a truly “wide area network” of research activity. The DCAI 23 technical program has selected 36 full papers in the main track and, as in past editions, there will be special issues in ranked journals. This symposium is organized by the LASI and Centro Algoritmi of the University of Minho (Portugal). The authors like to thank all the contributing authors, the members of the Program Committee, National Associations (AEPIA, APPIA), and the sponsors (AIR Institute).

Author : Maurizio Valle,Dirk Lehmhus,Christian Gianoglio,Edoardo Ragusa,Lucia Seminara,Stefan Bosse,Ali Ibrahim,Klaus-Dieter Thoben
Publisher : Springer Nature
Page : 745 pages
File Size : 45,7 Mb
Release : 2022-09-03
Category : Technology & Engineering
ISBN : 9783031162817

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Advances in System-Integrated Intelligence by Maurizio Valle,Dirk Lehmhus,Christian Gianoglio,Edoardo Ragusa,Lucia Seminara,Stefan Bosse,Ali Ibrahim,Klaus-Dieter Thoben Pdf

This book reports on cutting-edge research and developments focusing on integrating intelligent functionalities into materials, components, systems and products. Gathering the proceedings of the 6th International Conference on System-Integrated Intelligence (SysInt 2022), held on September 7-9, in Genova, Italy, it offers a comprehensive, multidisciplinary and applied perspective on the state-of-the art and challenges in the field of intelligent, flexible and connected systems. The book covers advanced methods and applications relating to artificial, pervasive and ubiquitous intelligence, sensors, smart factory and logistics, structural health monitoring, as well as soft robotics, cognitive systems and human-machine interaction. Giving a special focus to artificial intelligence, it extensively reports on methods and algorithms for data-driven modeling, and agent-based data processing and planning. It aims at inspiring and fostering collaboration between researchers and professionals from the different fields of electrical, manufacturing and production engineering, and materials and computer sciences.

Author : Suman Lata Tripathi,Deepika Ghai,Sobhit Saxena,Manash Chanda,Mamoun Alazab
Publisher : John Wiley & Sons
Page : 516 pages
File Size : 44,5 Mb
Release : 2022-12-01
Category : Technology & Engineering
ISBN : 9781119861829

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Machine Learning Algorithms for Signal and Image Processing by Suman Lata Tripathi,Deepika Ghai,Sobhit Saxena,Manash Chanda,Mamoun Alazab Pdf

Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as: Speech recognition, image reconstruction, object classification and detection, and text processing Healthcare monitoring, biomedical systems, and green energy How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.

Author : Ibrahim (Abe) M. Elfadel,Mohammed Ismail
Publisher : Springer
Page : 382 pages
File Size : 48,5 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9783319931005

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The IoT Physical Layer by Ibrahim (Abe) M. Elfadel,Mohammed Ismail Pdf

This book documents some of the most recent advances on the physical layer of the Internet of Things (IoT), including sensors, circuits, and systems. The application area selected for illustrating these advances is that of autonomous, wearable systems for real-time medical diagnosis. The book is unique in that it adopts a holistic view of such systems and includes not only the sensor and processing subsystems, but also the power, communication, and security subsystems. Particular attention is paid to the integration of these IoT subsystems as well as the prototyping platforms needed for achieving such integration. Other unique features include the discussion of energy-harvesting subsystems to achieve full energy autonomy and the consideration of hardware security as a requirement for the integrity of the IoT physical layer. One unifying thread of the various designs considered in this book is that they have all been fabricated and tested in an advanced, low-power CMOS process, namely GLOBALFOUNDRIES 65nm CMOS LPe.

Author : Venkata Lakshmi Narayana Komanapalli,N. Sivakumaran,Santoshkumar Hampannavar
Publisher : Springer Nature
Page : 3212 pages
File Size : 48,8 Mb
Release : 2021-03-04
Category : Technology & Engineering
ISBN : 9789811582219

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Advances in Automation, Signal Processing, Instrumentation, and Control by Venkata Lakshmi Narayana Komanapalli,N. Sivakumaran,Santoshkumar Hampannavar Pdf

This book presents the select proceedings of the International Conference on Automation, Signal Processing, Instrumentation and Control (i-CASIC) 2020. The book mainly focuses on emerging technologies in electrical systems, IoT-based instrumentation, advanced industrial automation, and advanced image and signal processing. It also includes studies on the analysis, design and implementation of instrumentation systems, and high-accuracy and energy-efficient controllers. The contents of this book will be useful for beginners, researchers as well as professionals interested in instrumentation and control, and other allied fields.

Author : Aboul Ella Hassanien,Aditya Khamparia,Deepak Gupta,K. Shankar,Adam Slowik
Publisher : Springer Nature
Page : 227 pages
File Size : 45,6 Mb
Release : 2020-10-19
Category : Technology & Engineering
ISBN : 9783030558338

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Cognitive Internet of Medical Things for Smart Healthcare by Aboul Ella Hassanien,Aditya Khamparia,Deepak Gupta,K. Shankar,Adam Slowik Pdf

This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. It contains thirteen chapters discussing various applications under the umbrella of the Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.

Author : Venkata Rajesh Pamula,Chris Van Hoof,Marian Verhelst
Publisher : Springer
Page : 114 pages
File Size : 52,5 Mb
Release : 2019-01-02
Category : Technology & Engineering
ISBN : 9783030058708

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Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems by Venkata Rajesh Pamula,Chris Van Hoof,Marian Verhelst Pdf

This book discusses the design and implementation aspects of ultra-low power biosignal acquisition platforms that exploit analog-assisted and algorithmic approaches for power savings.The authors describe an approach referred to as “analog-and-algorithm-assisted” signal processing.This enables significant power consumption reductions by implementing low power biosignal acquisition systems, leveraging analog preprocessing and algorithmic approaches to reduce the data rate very early in the signal processing chain.They demonstrate savings for wearable sensor networks (WSN) and body area networks (BAN), in the sensors’ stimulation power consumption, as well in the power consumption of the digital signal processing and the radio link. Two specific implementations, an adaptive sampling electrocardiogram (ECG) acquisition and a compressive sampling (CS) photoplethysmogram (PPG) acquisition system, are demonstrated. First book to present the so called, “analog-and-algorithm-assisted” approaches for ultra-low power biosignal acquisition and processing platforms; Covers the recent trend of “beyond Nyquist rate” signal acquisition and processing in detail, including adaptive sampling and compressive sampling paradigms; Includes chapters on compressed domain feature extraction, as well as acquisition of photoplethysmogram, an emerging optical sensing modality, including compressive sampling based PPG readout with embedded feature extraction; Discusses emerging trends in sensor fusion for improving the signal integrity, as well as lowering the power consumption of biosignal acquisition systems.